| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 382172000 | For setting a threshold | 20 |
| 20080292185 | VIDEO SIGNAL PROCESSING METHOD, PROGRAM FOR THE VIDEO SIGNAL PROCESSING METHOD, RECORDING MEDIUM RECORDING THE PROGRAM FOR THE VIDEO SIGNAL PROCESSING METHOD, AND VIDEO SIGNAL PROCESSING APPARATUS - Provided is a video signal processing method of measuring a noise level of an input video signal, the method including the steps of: setting a plurality of areas in the input video signal and extracting a characteristic amount which is an index of the noise level of the input video signal for each area; detecting characteristic amounts suitable to a measurement of the noise level from among the characteristic amounts of the plurality of areas; and creating a histogram by using the detected characteristic amounts suitable to the measurement of the noise level and detecting the noise level by analyzing the histogram. | 11-27-2008 |
| 20090067714 | SYSTEM AND METHOD FOR IMAGE FOG SCENE DETECTION - The subject application is directed to a system and method for image fog scene detection. Electronic image data is first received and divided into image regions, with each region consisting of a plurality of pixels. Next, a comparison matrix is generated corresponding to each image region based upon a comparison of minimum intensity values associated with corresponding pixels to a threshold value. An entry of at least one of the comparison matrices is then tested for a preselected value. The received electronic image data is then identified as inclusive of a fog scene based upon the output of the test on the entry of the comparison matrix. Based upon the identification, fog scene detection data representing an identified fog scene is then generated. | 03-12-2009 |
| 20090067715 | ELECTRONIC VISION AID AND ELECTRONIC VISION AID METHOD - An electronic visual aid is provided that includes an evaluating unit, which is supplied with a recording of an information carrier on which information standing out visibly from the background is displayed. The evaluating unit determines a brightness distribution of the recording and derives from the brightness distribution a brightness threshold value lying in the transition zone between a zone of the brightness distribution associated with the background and a zone of the brightness distribution associated with the information. The visual aid also includes an image processing unit which generates from the recording a binary image having only two different, predetermined brightness values, by respectively assigning to the pixels of the binary image the first of the two brightness values when the brightness of the corresponding pixel of the recording is below the brightness threshold value, and otherwise assigning the second brightness value. Also included is a display unit which displays the binary image and is provided as an HMD device. | 03-12-2009 |
| 20090161953 | Method of high dynamic range compression with detail preservation and noise constraints - A method for high dynamic range compression uses a modified cumulative histogram as a compression curve. This curve is computed from the cumulative histogram of the image with constraints that the local derivative on the curve does not exceed a certain limit. The limit is fixed along the curve or the limit is variable, taking into account noise characteristics at various pixel values. To provide appropriate detail preservation, a smoothing filter is used to separate the image into an illumination image, referred to as a base image, and a detail image, and the compression curve is applied to the base image only. The compression method provides high dynamic range compression of the image while preserving the global contrast perception. Conventional global algorithms for high dynamic range compression are not capable of achieving this result. The proposed high dynamic range compression method also minimizes noise amplification while lightening the dark areas during image compression. | 06-25-2009 |
| 20090245636 | SYSTEM AND METHOD FOR BRIGHTNESS ADJUSTMENT FOR ELECTRONIC IMAGES - The subject application is directed to a system and method for brightness adjustment of electronic images. Image data including a plurality of pixels is first received, with each pixel having an associated image value. Histogram data corresponding to a histogram of at least one component value corresponding to each of the pixels is then calculated. An image correction value is then calculated according to at least one characteristic of the calculated histogram data. A determination is then made regarding the application of the calculated image correction value from the calculated histogram data. Corrected image data is thereafter generated based upon the application of the calculated image correction value to each pixel. | 10-01-2009 |
| 20090316987 | System and Method for Determining High Frequency Content in an Analog Image Source - A system and method for determining high frequency content in an analog image source. A method comprises creating a histogram of the image, and selecting a portion of the image based on the histogram. The histogram comprises a first number of horizontal bins and a second number of vertical bins, with each bin having an associated counter for maintaining a count of pixel differences of pixels in a portion of the image corresponding to the bin that exceed a threshold. The portion of the image selected corresponds to a portion of the histogram having a high pixel difference count relative to other portions of the histogram. | 12-24-2009 |
| 20100067792 | DIGITAL IMAGE CODING SYSTEM HAVING SELF-ADJUSTING SELECTION CRITERIA FOR SELECTING A TRANSFORM FUNCTION - In a digital signal processing system, a method for selecting a transform function to apply to an input signal based on characteristics of the signal, and for self-adjusting criteria which are used in selecting a transform function to apply to a subsequent signal. Characteristics are obtained from the signal. The characteristics are compared to adjustable criteria which are used in selecting a transform function. Differing criteria are maintained for the different selectable transform functions. A record is maintained of transform functions selected and the particular characteristics that caused the selection. Based on the ability of a transform function to minimally define the coded signal, an inverse transform function is selected to decode the signal. The criteria used in selecting a transform function to apply to a subsequent signal are adjusted based on a quality measure of the decoded signal and the record of selected transform functions. | 03-18-2010 |
| 20100158373 | METHODS AND APPARATUS FOR AUTO IMAGE BINARIZATION - A threshold determination method is selected from among a plurality of alternative global thresholding determination methods and, optionally, a local thresholding determination method based on characteristics of a histogram of grayscales values representing an image. When it is determined to use a global thresholding method, a single global binarization threshold value is determined using the selected global thresholding method. Various alternative global binarization threshold values include a predetermined constant, an average value of the two grayscale values, an Otsu method based threshold value, a Newton method based threshold value, and an Otsu method based threshold value based on a truncated version of the histogram. When it is determined to use local thresholding, a plurality of local binarization threshold values are determined corresponding to different non-overlapping blocks of the image. The determined binarization threshold(s) are applied to the gray scale pixel values to obtain a set of binary pixel values. | 06-24-2010 |
| 20100239164 | METHOD AND APPARATUS FOR REDUCING SPATIAL NOISE OF IMAGES - A method for reducing spatial noise of images includes the following steps. A target pixel is obtained and an operating block is built accordingly. Pixel values of the target pixel and multiple neighboring pixels in the operating block are operated to obtain a variance corresponding to the operating block. Whether the target pixel is characteristic is judged according to the variance. If the target pixel is not characteristic, the multiple pixels in the operating block are filtered to obtain a modulated pixel value. The pixel value of the target pixel is updated to the modulated pixel value. | 09-23-2010 |
| 20100290703 | Enhancing Photograph Visual Quality Using Texture and Contrast Data From Near Infra-red Images - Near infra-red images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs. The contrast and rich texture details form a NIR image corresponding to a visible light image are useful for enhancing the visual quality of the visible light image. To enhance the visual quality of a visible light image using its corresponding near infra-red image, a computer-implemented method computes a weight region mask from the visible light image, transfers contrast data and texture data from the near infra-red image to the visible light image guided by the weighted region mask. The contrast data is computed from the low frequency subbands of the visible light image and corresponding infra-red image after a wavelet transform by matching the histogram of gradient magnitude. The texture data is computed from the high frequency subbands of both images after wavelet transform. | 11-18-2010 |
| 20100329559 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - An image processing apparatus according to the present invention, comprises a histogram creation unit creates a histogram from an input image, a detection unit detects a gradation level of interest from the histogram, a gradation correction parameter generation unit generates a gradation correction parameter to improve a gradation characteristic in a gradation range around the gradation level of interest, and a correction unit corrects the gradation of the image using the gradation correction parameter, wherein the detection unit detects, as the gradation level of interest, a gradation level of which frequency is a peak value equal to or more than a predetermined threshold, and which has variation width of frequencies in a predetermined range including this gradation level to be smaller than a predetermined width in the histogram. | 12-30-2010 |
| 20110052060 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - An image processing apparatus generates, for an image, partial histograms by dividing a luminance histogram at downward convex parts of a frequency distribution of the luminance histogram. The image processing apparatus calculates, for a partial histogram selected from the partial histograms, a difference between a maximum frequency in each of all the partial histograms located on the first side of the selected partial histogram, and a minimum frequency within a luminance range from a luminance level of the maximum frequency to that of a maximum frequency in the selected partial histogram as a drop, and sets a maximum one of the drops calculated for the respective partial histograms as a drop. The image processing apparatus sets a weight, which becomes smaller as this drop is larger, for the selected partial histogram, and calculates a weighted average of the luminance histogram, thereby acquiring a luminance value for the tone correction. | 03-03-2011 |
| 20110142342 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - Provided is an image processing apparatus which includes a block histogram generation unit configured to calculate frequency of a pixel value in each block, divide a dynamic range, and generate a first histogram including “N” number of bins, a pixel histogram generation unit configured to calculate frequency of a target pixel in a block based on first histograms of the block including the target pixel and a block adjacent to the block including the target pixel, and generate a second histogram including “N” number of bins for each pixel, and an output value determination unit configured to generate a relation between the pixel value and an output value of the pixel value based on the second histogram so that a maximum cumulative frequency of the second histogram matches a maximum value of the output value, and calculate the output value based on the pixel value of the target pixel. | 06-16-2011 |
| 20110268358 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM - In an image processing technology, an original image is inputted by accepting an input of an original image to be image-processed; a local area is set, with a pixel of which brightness is to be converted being a center of the local area, from the original image; a local histogram relating to brightness of the local area is calculated; a local cumulative histogram is calculated by accumulating the local histogram; first and second monotone increasing functions are determined, respectively, corresponding to cumulative frequency values in first and second classes of the local cumulative histogram; first and second weighting functions are determined, respectively, corresponding to the first and second monotone increasing functions; a conversion function relating to brightness of the pixel is produced from the first monotone increasing function weighted by the first weighting function and the second monotone increasing function weighted by the second weighting function; and the brightness of the pixel is then converted by the conversion function. | 11-03-2011 |
| 20120155765 | IMAGE QUALITY ASSESSMENT - Methods and systems for image quality assessment are disclosed. A method includes accessing an image, identifying features of the image, assessing the features and generating subjective scores for the features based upon a mapping of the features to the subjective scores and based on the subjective scores, generating an image quality score. Access is provided to the image quality score. | 06-21-2012 |
| 20120250999 | DETECTION OF LOW CONTRAST FOR IMAGE PROCESSING - There are many applications that conduct both generation of contrast or complexity level and motion estimation for video processing. The applications often use a block matching technique. An embedded system such as a personal digital camera is an example of such an application. Additionally, comparison of error differences around the location of minimum error in a motion estimation error table is able to be used to determine low contrast in a scene. | 10-04-2012 |
| 20140086485 | HISTOGRAM STRETCHING APPARATUS AND METHOD - There are provided a histogram stretching apparatus and a histogram stretching method. The histogram stretching apparatus includes: an image analyzing unit; a histogram generating unit; an extension level setting; and a histogram stretching unit, wherein the histogram generating unit adds a preset reference image level to the minimum image level to calculate the first image level and subtracts the preset reference image level from the maximum image level to calculate the second image level. | 03-27-2014 |
| 20150363919 | AUTOMATIC VIDEO QUALITY ENHANCEMENT WITH TEMPORAL SMOOTHING AND USER OVERRIDE - Technologies for a single-pass process for enhancing video quality with temporal smoothing. The process may include providing for user overrides of automatically enhanced video/frame characteristics and providing substantially immediate previews of enhanced video frames to a user. The process may also include detecting a degree of shakiness in a portion of the video, and performing or recommending stabilization based on the detected shakiness. | 12-17-2015 |
| 20160092417 | HORIZONTAL AND VERTICAL LINE DETECTION AND REMOVAL FOR DOCUMENT IMAGES - A vertical and horizontal line detection method for document images includes generating multiple binary images from the input grayscale document image based on multiple binarization thresholds, detecting horizontal and vertical lines in each of the multiple binary images independently, and merging the detection results from the multiple binary images. The line detection process for each binary image include applying an opening operation using a vertical or horizontal line as the structuring element, and removing connected components that are not vertical or horizontal lines based on a stroke width analysis. The boundaries of the detected lines are obtained using horizontal and vertical projections. | 03-31-2016 |
| 20160162749 | IMAGE PROCESSING APPARATUS AND METHOD FOR ENCODING AN IMAGE DESCRIPTOR BASED ON A GRADIENT HISTOGRAM - A method for encoding an image descriptor (H) based on gradient histograms (h | 06-09-2016 |
