Class / Patent application number | Description | Number of patent applications / Date published |
382169000 | With a gray-level transformation (e.g., uniform density transformation) | 49 |
20080199074 | Image Processing Device and Method, Recording Medium, and Program - An image processing device for processing image data includes: a gray level transforming processing unit which receives input, of image data, performs gray level transforming, and outputs image data having all of multiple color information by each pixel being configured of one of the multiple color information; the gray level transforming processing unit further including a first gray value computing unit for computing a first gray value according to the brightness of a pixel of interest which exists in a pixel location of interest; a second gray value computing unit for computing a second gray value by gray value transforming as to the first gray value; and pixel value gray level transforming unit for computing a pixel value subjected to gray level transforming of the pixel of interest, based on the first gray value, the second gray value, and the pixel value of the pixel of interest. | 08-21-2008 |
20080226167 | Method and Apparatus to Facilitate Transforming Grayscale Level Values - An image processing apparatus ( | 09-18-2008 |
20080285853 | Contrast enhancement methods and apparatuses - Image contrast enhancement includes (i) computing a contrast measure incorporating an adjustable tone transformation function and one or more statistical measures of selected spatial arrangements of pixel or voxel intensities in an analysis image or image portion, (ii) adjusting the adjustable tone transformation function to increase contrast as indicated by the contrast measure, and (iii) enhancing contrast of a target image or image portion using the adjusted tone transformation function. | 11-20-2008 |
20080310714 | Method and Apparatus for Enhancing Images - A method and an apparatus for enhancing images are provided. An input image generated by an imaging device, such as a short-wavelength infrared (SWIR) camera, sensor, or any other imaging device, is processed to produce an input histogram representing the distribution of pixel intensities in the input image. Histogram start and end points are determined, and a variable plateau profile is calculated depending upon the type of enhancement desired. The plateau profile could take on any desired shape or size, and two or more plateau regions could be included in the profile. The input histogram is clipped along the variable plateau profile. A cumulative histogram is constructed from the clipped histogram, and is normalized. The input image is then transformed into an enhanced output image using the normalized cumulative histogram as a look-up table. | 12-18-2008 |
20090041350 | Image processing apparatus, imaging apparatus and image processing program - A white-balance imaging apparatus includes a first gradation converting unit performing gradation conversion depending on each pixel value of an original image, a second gradation converting unit performing gradation conversion based on pixel values within a predetermined range from each pixel of the original image, a selecting unit selecting a gradation conversion mode, and a determining unit determining second gradation conversion parameters for use by the second gradation converting unit, according to the selected gradation conversion mode, and determining at least one of first gradation conversion parameters for use by the first gradation converting unit and an exposure amount in an exposure amount adjusting part which can adjust the exposure amount, according to the selected gradation conversion mode. Therefore, it is possible to correct the dark area gradation of an image while maintaining brightness of the whole image, and to realize preferable gradation conversion. | 02-12-2009 |
20090067713 | CONTENT-ADAPTIVE CONTRAST IMPROVING METHOD AND APPARATUS FOR DIGITAL IMAGE - The present invention is directed to a digital image content-adaptive contrast improving method. The method includes forming a piecewise linear tone remapping function for a digital image according to the histogram thereof. The piecewise linear tone remapping function is formed by repeatedly performing a first and a second step. The first step determines a starting linear tone mapping function for a specific range of luminance values. The second step generates a new tone mapping function for the specific range of luminance values based on the starting linear tone mapping function and the histogram. An apparatus for implementing the method is also provided. | 03-12-2009 |
20090087092 | HISTOGRAM STRETCHING APPARATUS AND HISTOGRAM STRETCHING METHOD FOR ENHANCING CONTRAST OF IMAGE - A histogram stretching apparatus and a histogram stretching method are disclosed to enhance image contrast by stretching a histogram of an input image within a range of a preset maximum expansion level and a preset minimum expansion level. The histogram stretching apparatus performs proper stretching suitable for a characteristic of the input image in due consideration of a saturation portion and a distribution range of a histogram of the input image. The histogram stretching apparatus can improve stretching effects by removing the saturated portion of the input image, and can prevent image distortion even for a monochromatic image. The histogram apparatus can improve histogram stretching effects by adjusting entire image levels of an image having a histogram frequency distribution skewed to a dark or bright side before a stretching operation. | 04-02-2009 |
20090097747 | METHOD OF IMAGE PROCESSING AND DEVICE THEREOF - A method of image processing and a device thereof are provided in the present invention. First, an image having a plurality of regions is received, wherein each region comprises a plurality of pixels. A contrast process is performed on each region and a respective local curve of each region is analyzed, wherein the local curve is a corresponding relation between the gray-level values of the pixels in each region before and after the contrast process. Next, the gray-level value of one of the pixels in a boundary between one of the regions and the neighboring region is adjusted according to the respective local curves of the one of the regions and the neighboring region. The local contrast process towards to each region is performed for enhancing the image. Therefore, not only can the features be obvious, but the non-uniform area in the boundary between the regions also can be smoothed. | 04-16-2009 |
20090110274 | IMAGE QUALITY ENHANCEMENT WITH HISTOGRAM DIFFUSION - Techniques for improving the quality of images are described. A first histogram of intensity values may be obtained for an input image and diffused to obtain a second histogram with better intensity coverage. The diffusion may be achieved by filtering the first histogram for multiple iterations with a diffusion function obtained based on a filter function and a diffusion control function. The filter function may control the rate and/or characteristics of the diffusion. The diffusion control function may control shifts in positions of lobes in the first histogram. A transformation function may be determined based on a first cumulative distribution function (CDF) for the first histogram and an inverse function for a second CDF for the second histogram. An output image may be generated by mapping each pixel value in the input image to a corresponding pixel value in the output image based on the transformation function. | 04-30-2009 |
20090123068 | METHOD FOR ADAPTIVELY ADJUSTING IMAGE AND IMAGE PROCESSING APPARATUS USING THE SAME - A method for adaptively adjusting image and an image processing apparatus using the same are provided. The apparatus includes a statistics apparatus and an image adjustment apparatus. The statistics apparatus receives a plurality of pixels in an image to generate a gray-level distribution of the pixels and searches a specific gray-level according to the gray-level distribution, in which a specific percentage of pixels have gray-levels smaller than the specific gray-level. The image adjustment apparatus adjusts the image according to the specific gray-level. | 05-14-2009 |
20090136129 | IMAGE DISPLAY PANEL AND DRIVING METHOD THEREOF - The invention provides image display panels. The image display panel comprises a histogram generator, a tone slope generator, and an image transformer. The histogram generator receives an original image, counts the pixels of different gray levels to generate a histogram distribution of the original image, and compares the pixel counts at every gray level with a first threshold count to identify the peaks of the histogram distribution. The tone slope generator generates a tone slope based on the histogram distribution and peaks of the histogram distribution. The image transformer transforms the original image into a modified image based on the tone slope. | 05-28-2009 |
20090185743 | HISTOGRAM-MODELING BASED ALGORITHM FOR CONTRAST ENHANCEMENT - A histogram modeling based technique for image contrast enhancement. In some implementations, a histogram of an image is created and then transformed. Using the physics of sound or heat propagation, the technique may develop a spreaded histogram model that may be transformed. A nonlinear mapping may be created to remap an image for contrast enhancement. The technique may be performed without threshold tuning and may be implemented on a variety of display hardware. | 07-23-2009 |
20090196501 | Method and Apparatus for Modifying the Histogram of an Image - A method and corresponding computing device and computer readable storage media containing instructions for modifying the histogram of a grayscale image to improve contrast by extracting black connected components from the grayscale image that touch at least one of the margins of the grayscale image, computing the histogram of the portion of the grayscale image covered by the extracted black connected components, and updating the histogram of the grayscale image by subtracting the histogram of the portion of the binary image covered by the extracted black connected components from the histogram of the grayscale image or by subtracting a function of number of pixels of the portion of the binary image covered by the extracted black connected components from the histogram of the grayscale image. The function may be a property of a document containing the grayscale image, such as the size of the document. In this case, pixels outside of the document boundaries are removed from the histogram during the updating of the histogram. | 08-06-2009 |
20090232397 | APPARATUS AND METHOD FOR PROCESSING IMAGE - An image processing apparatus includes a data storage section configured to store an image data of a streaked pattern image as a gray-scale image and a direction distribution data indicating a direction distribution of a streaked pattern noise in a first area of the streaked pattern image; and a first image enhancing section configured to execute a first image enhancing process in the first area. The direction distribution data relates a first position as a position of a first pixel in the first area and a first direction as a direction of the streaked pattern noise in the first position. The first image enhancing section determines a first reference area as a local area which contains the first pixel based on the first direction such that the first reference area is contained in the first area, and calculates a post-process density as a density after the first image enhancing process in the first pixel based on a first density histogram in the first reference area. | 09-17-2009 |
20090304279 | IMAGE PROCESSING APPARATUS, MOBILE WIRELESS TERMINAL APPARATUS, AND IMAGE DISPLAY METHOD - A histogram generating function generates a histogram by counting the number of pixels included in each tone for each tone of an input video signal. A peak luminance gain calculation function calculates the gain value of a peak luminance on the basis of the histogram. A tone conversion function calculation function generates a lookup table for obtaining an output tone by correcting an input tone on the basis of the histogram and the gain value, and records the table in a tone conversion lookup table storage unit. A tone-converted image generating function which executes the correction processing of correcting the tone of an input video signal on the basis of the tone conversion lookup table. | 12-10-2009 |
20100021057 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A Y histogram creation processing unit detects the signal level (luminance level) of the Y signal component of each pixel of a frame on the basis of YUV signals, and creates a histogram by totaling the number of pixels for each signal level. In this processing, a histogram is created by adding values weighted depending on whether a region in a predetermined range around each pixel includes a monotonous pattern. A histogram shape processing unit shapes the histogram. An input/output correction characteristic creation processing unit performs normalization by cumulative addition. A correction lookup table creation processing unit creates a lookup table on the basis of the input/output correction characteristic obtained by the input/output correction characteristic creation processing unit. A Y correction processing unit corrects a Y signal on the basis of the table. | 01-28-2010 |
20100046836 | DEVICE OF GATHERING STATISTICS OF GRAY DISTRIBUTION OF IMAGE AND METHOD THEREOF - A device of gathering statistics of the gray distribution of an image and a method thereof are provided. The device includes a comparing unit, a count unit, a memory unit, and a data allotment unit. The comparing unit determines gray information of a plurality of gray data of the input image, and output a respective count signal accordingly. The count unit includes a plurality of counters. Each counter corresponding to predetermined gray information has a count value. The counters update the count values according to the respective count signals. When the count value exceeds a predetermined value, the count unit outputs a pulse signal corresponding to the predetermined gray information. The data allotment unit updates the statistics of the gray distribution of the image stored in the memory unit according to the pulse signal. The present invention reduces the number of the registers the counters require and decreases hardware costs. | 02-25-2010 |
20100061629 | Method and Apparatus for Binarization Threshold Calculation - A method, computing device, and associated computer readable storage media containing instructions for binarizing a grayscale image by manually determining a first threshold that yields optimal binarization values to one or more images in a set of images, calculating the histograms of each of the images determined using the first threshold, calculating a set of statistical parameters such as the mean, standard deviation and variance of each histogram, determining a second threshold as a function of the set of statistical parameters, and comparing each pixel of the grayscale image to the second threshold. The second threshold T may be a function of the mean m, standard deviation s and variance v and is calculated by fitting a third degree polynomial curve T=a | 03-11-2010 |
20100158371 | APPARATUS AND METHOD FOR DETECTING FACIAL IMAGE - A method of detecting a facial image includes pre-processing an image; and detecting a face region from the pre-processed image to create facial records of the detected face region. Further, the method of detecting the facial image includes detecting the facial image by creating coordinates of the face and eyes in the input image by using the facial records. | 06-24-2010 |
20100183224 | METHOD AND SYSTEM FOR EVALUATING CURRENT SPREADING OF LIGHT EMITTING DEVICE - Disclosed are a method and system for evaluating current spreading of a light emitting device. The method includes applying current to a light emitting device and acquiring a luminescence image corresponding to a digital signal, converting the luminescence image into a gray image, and determining the number of pixels having gray levels greater than a set threshold among pixels included in the luminescence image converted into the gray image, as a criterion for determining the degree of current spreading of the light emitting device. | 07-22-2010 |
20100278423 | METHODS AND SYSTEMS FOR CONTRAST ENHANCEMENT - Methods for contrast enhancement of digital images are provided. A method of adaptive histogram equalization is provided that determines weighting factors for discriminating between sub-regions of a digital image to be more enhanced or less enhanced. Another method for content adaptive local histogram equalization is provided that uses a mapping function in which the dynamic range is not changed by the transformation. A third method for contrast enhancement is provided that includes dividing a digital image into a plurality of regions of pixels, and for each region in the plurality of regions, determining a threshold gray level for the region, generating a mapping curve for the region based on the threshold gray level, and applying the generated mapping curve to each pixel in the region to enhance contrast. | 11-04-2010 |
20100303355 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - The invention provides an image processing apparatus, image processing method, and image processing program that perform gradation correction processing with reduced color unevenness, even for an image containing a low-contrast region, with a simple configuration. A first gradation-distribution calculating unit divides the gradation width of an input image signal into a plurality of gradation sections and calculates a first histogram showing the frequency of pixel values in each gradation section; a decision unit decides whether the image contains a low-contrast region on the basis of a feature component signal related to the contrast of the image; a second gradation-distribution calculating unit calculates, using the first histogram, a second histogram which is divided into a greater number of gradation sections than the first histogram; and a gradation correction unit performs gradation correction processing using the second histogram when it is determined that the image contains a low-contrast region, and performs gradation correction processing using the first histogram for other images. | 12-02-2010 |
20110044542 | Image Processing Device - An image processing device that processes multivalue image data includes: a histogram storage section that stores an appearance frequency of each of gradation values; a palette storage section that stores the gradation value that corresponds to each of index values; an output section that accesses the histogram storage section data and outputs the appearance frequency of the gradation value of the piece of pixel data; a histogram generator that accesses the histogram storage section for each piece of the pixel data included in the image data and adds one to the appearance frequency of the gradation value of the piece of pixel data; and a palette generator that assigns, when the appearance frequency that is output from the output section indicates 0, the index value to the gradation value and accesses the palette storage section and stores the gradation value that corresponds to the index value. | 02-24-2011 |
20110058739 | SYSTEM AND METHOD OF CONTRAST ENHANCEMENT - A system and method of contrast enhancement is disclosed. A contrast enhancement unit processes an input pixel to generate a contrast-enhanced pixel, and a delta unit subtracts the input pixel from the contrast-enhanced pixel, thereby resulting in a difference value. Multiple delayed difference values generated by a delay unit are low-pass filtered to generate a refined difference value. An adding unit adds back the refined difference value to the input pixel, thereby resulting in an output pixel that is contrast-enhanced without noise boost. | 03-10-2011 |
20110096989 | METHOD AND APPARATUS FOR ENHANCING IMAGE OR VIDEO QUALITY USING AN EXPOSURE AWARE SCENE ADAPTIVE GLOBAL BRIGHTNESS CONTRAST - A method and apparatus for enhancing at least one of video and image quality using an exposure aware scene adaptive global brightness contrast. The method includes determining if gain control is needed utilizing Gamma corrected histogram and ancillary data, if gain control is not required, computing a set of scene adaptive tone points and blending with information from histogram equalization if needed, if gain control is required, estimating gain value and utilizing the gain value in computing the gain table, and accordingly, generating a look-up table for enhancing global brightness contrast utilizing the gain table, the tone table and the information from histogram equalization. | 04-28-2011 |
20110222767 | IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus includes a histogram calculation unit configured to calculate a histogram of a luminance value for each spatial block obtained by dividing an input image in a spatial direction, a gray scale correction coefficient calculation unit configured to calculate a gray scale correction coefficient used for correction of the gray scale of a luminance value for each bin of the histogram, and a gray scale correction unit configured to perform gray scale correction of a luminance value of a target pixel based on the gray scale correction coefficient of the bin to which the target pixel of the input image belongs and the gray scale correction coefficient of a bin adjacent to the bin to which the target pixel belongs in the spatial direction and a luminance direction. | 09-15-2011 |
20110243441 | Image Transient Improvement Apparatus - An image transient improvement apparatus for suppressing aliasing patterns in an image is disclosed. The image transient improvement apparatus includes a limit detector for detecting a maximum gray level and a minimum gray level of a plurality of pixels of a sub-zone of the image, a filter for acquiring a frequency component of the plurality of pixels at a specific frequency, a weighted second-order derivative detector for calculating a plurality of second-order derivatives of the plurality of pixels and accordingly generating a gain, a multiplier for multiplying the frequency component by the gain to generate an amplified frequency component, an adder for adding the amplified frequency component to the plurality of pixels to generate an adding result, and a limiter for converting the adding result to a transient improved sub-zone according to the maximum gray level and the minimum gray level. | 10-06-2011 |
20120076407 | BRIGHTNESS ENHANCEMENT METHOD, SYSTEM AND APPARATUS FOR LOW POWER ARCHITECTURES - Embodiments are described for a brightness enhancement method, system and apparatus for low power architecture. A histogram of a contrast image may be generated. One or more parameters may be set based on the histogram. A tone mapping for the contrast image may be determined based on the one or more parameters. An output pixel may be determined based on the tone mapping. | 03-29-2012 |
20120106842 | METHOD FOR IMAGE ENHANCEMENT BASED ON HISTOGRAM MODIFICATION AND SPECIFICATION - This invention provides a method for image enhancement based on histogram modification and specification, which comprises the following steps, calculating a first cumulative distribution function for a gray levels of a first image; calculating a first transforming function by the first distribution function and a second distribution function; providing a second transforming function by a first equation or a second equation; providing the second transforming function, the second transforming function is close to the first transforming function; providing the second transforming function, the second transforming function is smooth low-pass filtering result of the first transforming function; and outputting a second image from the second transforming function. | 05-03-2012 |
20120114238 | METHOD OF PERFORMING ADAPTIVE CONTRAST ENHANCEMENT USING HYPERLOIC TANGENT CURVE AND IMAGE HISTOGRAM - Disclosed is a method of performing contrast enhancement for an image. A mean luminance value is calculated with respect to an image that is read, the type of the image is determined based on the mean luminance value, a contrast reference curve is created by using a hyperbolic tangential function curve according to the type of the image, and the contrast of the image is enhanced by using the contrast reference curve. | 05-10-2012 |
20120121179 | UNIFIED SPATIAL IMAGE PROCESSING - A method for enhancing an input image to produce an enhanced output image is provided. The method includes constructing a photographic-mask intermediate image without low-contrast details and a temporary-image intermediate image with enhanced mid-contrast details, retained high-contrast details, and reduced low-contrast details, and employing values for the photographic-mask intermediate image and temporary-image intermediate image to produce the enhanced output image that is globally and locally contrast-enhanced, sharpened, and denoised. | 05-17-2012 |
20120141028 | Method and apparatus for automatic brightness adjustment of image signal processor - An automatic brightness adjusting method and apparatus for image signal processor (ISP) is provided. The image processing apparatus may include a histogram generating unit, a cumulative distribution function calculator, and a histogram equalization (HE) unit. The histogram generating unit may generate a histogram of brightness values of pixels in an input image. The cumulative distribution function calculator may generate a cumulative distribution function and an inverse cumulative distribution function, based on the generated histogram. The HE unit may generate a conversion function based on the cumulative distribution function and the inverse cumulative distribution function, and may apply HE to the input image based on the conversion function so as to generate an output image. | 06-07-2012 |
20120148155 | Digital Image Processing Method and Device for Lightening Said Image - A method of processing a digital image, said image comprising a plurality of pixels, pixels, the method comprising a computation step (S | 06-14-2012 |
20120301028 | TRANSFERRING COLORS FROM A SOURCE OBJECT TO A TARGET OBJECT - A technique includes using a processor-based machine to determine a discrete color flow transformation to map target colors of a target object to source colors of a source object based at least in part on a first histogram indicating a color distribution of the target object and a second histogram of a color distribution indicating the source object. The technique includes determining a continuous color flow transformation to map the target colors to the source colors based at least in part on the discrete color flow transformation; and transforming the target colors of the target object to generate a third object based at least in part on the continuous color flow transformation. | 11-29-2012 |
20130016906 | BINARIZED THRESHOLD VALUE DETERMINATION DEVICE, METHOD THEREOF, AND IMAGE PROCESSING DEVICEAANM Kakino; TomonariAACI Fuji-shiAACO JPAAGP Kakino; Tomonari Fuji-shi JP - According to one embodiment, a binarized threshold value determination device includes, a creating unit, an average gray level value calculation unit, a parameter calculation unit, a correction unit, a selection unit, and a determination unit. The correction unit configures to correct the gray level value of the gray level histogram on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit. The selection unit configures to select a temporary threshold value from the gray level histogram of which the gray level value is corrected in the correction unit. The determination unit configures to determine a threshold value for binarizing each of the pixels by performing an inversion correction with respect to the temporary threshold value which is selected in the selection unit, on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit. | 01-17-2013 |
20130039577 | METHOD FOR IMPROVING IMAGE QUALITY - A method for improving image quality for display device has steps of inputting an image; computing a probability density function based on the image; generating a first luminance histogram; computing a weighing distribution function based on the first luminance histogram; generating a second luminance histogram through pixel redistribution of the first luminance histogram; computing a cumulative density function based on the second luminance histogram; computing a gamma conversion function based on the cumulative density function based on the second luminance histogram; and adjusting luminance distribution of the input image based on the gamma conversion function. | 02-14-2013 |
20130064450 | System for Enhancing Content - A system and method for enhancing a content file is disclosed. The system comprises a histogram module, a contrast stretching module and a brightness module. The histogram module generates a histogram including data that describes one or more pixel intensities for one or more channels included in a content file. The contrast stretching module adjusts the one or more pixel intensities for the one or more channels included in the content file based at least in part on the histogram. The brightness module is communicatively coupled to the contrast stretching module for determining whether a brightness level for the content file is within a range describing one or more acceptable brightness levels. The brightness module adjusts the brightness level for the content file responsive to determining that the brightness level for the content file is outside the range. | 03-14-2013 |
20130114897 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing method includes inputting input image data captured by an imaging unit, generating an input histogram of the input image data based on the input image data, and correcting the input image data based on noise characteristics data and the input histogram, wherein the noise characteristics data includes data indicating probability of a first characteristic value becoming a second characteristic value due to noise. | 05-09-2013 |
20130182953 | IRIS DATA EXTRACTION - A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels. | 07-18-2013 |
20130259370 | ELECTRONIC APPARATUS AND METHOD FOR BINARIZING IMAGE - An electronic apparatus and method obtains an original image, converts the original image into gray level to determine a gray level distribution of the original image, and defines a fuzzy region and a flat region and a fuzzy region according to the gray level distribution and a binary threshold. The electronic apparatus and method compares the pixel gray values in the fuzzy region with pixel gray values in the flat region to re-define the pixel gray values in the fuzzy region according to the comparison and a formula, and binarizes the original image to output an binarized image. | 10-03-2013 |
20130287299 | IMAGE PROCESSING APPARATUS - The invention discloses an image processing apparatus. The image processing apparatus includes an image statistic computation circuitry, a reconfigurable circuitry and a luminance transformation circuitry. The image statistic computation circuitry computes a probability density function corresponding to an inputted image; generates a first luminance histogram by subsampling a luminance histogram related to the probability density function in a first period. The reconfigurable circuitry computes a weighting distribution function according to the first luminance histogram in a second period after the first period; computes a smoothed cumulative density function according to the weighting distribution function in a third period after the second period; computes a gamma transform function in a fourth period after the third period. The luminance transformation circuitry generates a resulted image by adjusting a luminance distribution of the inputted image based on the gamma transform function in a fifth period after the fourth period. | 10-31-2013 |
20140056517 | METHOD, SYSTEM AND APPARATUS FOR APPLYING HISTOGRAM EQUALIZATION TO AN IMAGE - A method for applying histogram equalization to an image comprises calculating a histogram of at least one image portion of an input image to obtain histogram data representing the number of occurrences of different brightness values in said at least one image portion. Said histogram data is filled up such that substantially all brightness values have a minimum number of occurrences. A cumulative distribution function is calculated from said filled up histogram data and is equalized in a predetermined range. Finally, said at least one image portion of the input image is remapped based on said equalized cumulative distribution function. | 02-27-2014 |
20140064616 | IMAGE PROCESSING METHOD | 03-06-2014 |
20140205193 | IMAGE PROCESSING APPARATUS, METHOD AND IMAGING APPARATUS - An image processing apparatus includes a histogram computation section that for a plurality of images with different light exposure amounts captured, computes for each of the images a histogram of the number of pixels a light exposure amount ratio computation section that, based on a degree of similarity between a profile of a first histogram computed from a first image out of the plurality of images and a profile of a second histogram computed from a second image out of the plurality of images, computes as a light exposure amount ratio a ratio between a light exposure amount for the first image and a light exposure amount for the second image, and a pixel value adjustment section that adjusts the pixel values of pixels contained in one image out of the first image and the second image based on the light exposure amount ratio. | 07-24-2014 |
20140348428 | DYNAMIC RANGE-ADJUSTMENT APPARATUSES AND METHODS - A dynamic range-adjustment apparatus is provided. The apparatus includes: an input unit for receiving an original image; an histogram equalization unit, coupled to the input unit, for performing contrast enhancement on the original image to produce a contrast-enhanced image; a factor-determination unit, coupled to the input unit and the histogram equalization unit, for determining a first factor based on the gray level of a pixel of the original image and the tone of the corresponding pixel of the contrast-enhanced image; and an adjustment unit, coupled to the input unit, the histogram equalization unit and the factor-determination unit. | 11-27-2014 |
20150317778 | Noise Enhanced Histograms - Apparatus for binning an input value into one of a plurality of bins which collectively represent a histogram of input values, each of the plurality of bins representing a corresponding range of input values, the apparatus comprising: an input for receiving an input value; a noise source configured to generate an error value according to a predetermined noise distribution; and a binning controller configured to mix the received input value with the error value so as to generate a modified input value and to allocate the modified input value to the bin corresponding to that modified input value. | 11-05-2015 |
20160070974 | Multi-Scale Tone Mapping - Methods, devices and computer readable instructions to generate multi-scale tone curves are disclosed. One method includes finding, for a given input image, a global tone curve that exhibits monotonic behavior. The input image may then be partitioned into a first number of sub-regions. For each sub-region, a local tone curve may be determined that has an output level that is constrained to the global tone curve at one or more first luminance levels so that each sub-region's local tone curve's output follows the global tone curve's monotonic behavior. If the resulting local tone curves provide sufficient control of shadow-boost, highlight-suppression, and contrast optimization the first number of local tone curves may be applied directly to the input image. If additional control is needed, each sub-region may again be partitioned and local tone curves determined for each of the new sub-regions. | 03-10-2016 |
20160104273 | IMAGE PICKUP APPARATUS THAT PERFORMS TONE CORRECTION, CONTROL METHOD THEREFOR, AND STORAGE MEDIUM - An image pickup apparatus which is capable of setting image quality as desired by a user when performing tone correction according to a luminance histogram of a taken image. A luminance histogram obtaining unit obtains a luminance histogram from image data. A luminance tone correction unit performs tone correction on the image data using a correction curve generated based on the obtained luminance histogram. A user setting unit receives a setting as to a correction intensity of the tone correction from the user and sets parameters for determining coordinate values of control points on the correction curve. A luminance tone control unit generates the correction curve based on the luminance histogram and determines the coordinate value according to the parameters set by the user setting unit. | 04-14-2016 |
20160379346 | SYSTEM AND METHOD FOR FAST DIGITAL SIGNAL DYNAMIC RANGE REDUCTION USING ADAPTIVE HISTOGRAM COMPACTION AND STABILIZATION - Embodiments are directed to systems and methods to intelligently reduce the dynamic range of a signal. Using a histogram analysis of the signal, significant and insignificant portions of the original dynamic range can be identified. Compaction can then be focused on the insignificant portions of the dynamic range, resulting in significant dynamic range reduction with less signal loss. By compacting the little used portions of the original signal, the dynamic range of the rest of the signal can be largely maintained which results in little loss to signal fidelity, and thus mitigates saturation, quantization, signal mutual suppression, and other issues observed in prior art methods. | 12-29-2016 |