| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 382163000 | Drop-out color in image (i.e., color to be removed) | 48 |
| 20080205751 | MULTI-COLOR DROPOUT FOR SCANNED DOCUMENT - A method for removing unwanted form color content from a scanned document by segmenting the image into two or more tiles ( | 08-28-2008 |
| 20080205752 | Image processor, method for processing image and computer readable medium - An image processor, includes: a gradation direction determination unit that determines a gradation direction existing in an image in which a color or density changes; a reference area setting unit that sets a shape of a reference area based on a determination result by the gradation direction determination unit; and a color estimation unit that estimates a color in which a non-target image superimposition does not occur based on a pixel value within the reference area set by the reference area setting unit and substitute an input pixel value with the estimated color. | 08-28-2008 |
| 20080279450 | Illuminant Estimation - A method of estimating, illuminant comprises minimising a Minkowski norm with illuminant constraints. The norm is preferably between 3 and 7 and most preferably between 4 and 6. The method is used to remove the colour of an illuminant from an image. | 11-13-2008 |
| 20090010532 | Image processing program product and image processing apparatus - An image processing apparatus includes: a first area extraction unit that extracts as a first area an area assuming an intensity value equal to or greater than a first threshold value from an image; a second area extraction unit that extracts as a second area an area assuming an intensity value equal to or greater than a second threshold value smaller than the first threshold value from the image; a light source area designating unit that designates as a light source area an area in the image containing a light source based upon characteristic quantities indicating characteristics of the first area and the second area; and a control unit that controls the first area extraction unit, the second area extraction unit and the light source area designating unit. | 01-08-2009 |
| 20090097743 | METHOD AND APPARATUS PROVIDING HARDWARE-EFFICIENT DEMOSAICING OF IMAGE DATA - A method and apparatus for determining missing color pixel values in image data (i.e., for demosaicing image data) using a small number of lines in a buffer memory. Pixel values are interpolated in a horizontal or a vertical direction based on gradient scores. Interpolation direction selection can be refined based on a chroma scores or morphological operations. A chroma blurring technique to reduce false color artifacts is also disclosed. A disclosed embodiment can be implemented in an imager having as few as three buffer lines. | 04-16-2009 |
| 20090103801 | Separation of Spectrally Overlaid or Color-Overlaid Image Contributions in a Multicolor Image, Especially Transmission Microscopic Multicolor Image - In one embodiment, the invention relates to a method for generating several single-color images from a multicolor image of a sample or object defined by intensity pixels (I | 04-23-2009 |
| 20090141972 | METHOD, COMPUTER PROGRAM, COMPUTER AND PRINTING SYSTEM FOR TRAPPING IMAGE DATA - In a method or computer program product for trapping of image data, the image data in an output image per image point is prepared as color separation data, and the image data is processed. | 06-04-2009 |
| 20090214108 | SYSTEM AND METHOD FOR ISOLATING NEAR ACHROMATIC PIXELS OF A DIGITAL IMAGE - The subject application is directed to a system and method for isolating near achromatic pixels of a digital image. First, image data encoded as a plurality of pixels is received, with each pixel having component values in a multi-dimensional color space. From the received image data, chroma data is extracted. Histogram data is then calculated from the extracted chroma data. An adapted threshold value is then determined based upon the calculated histogram data. Component values of the plurality of pixels are then compared to the determined adapted threshold value. Isolation of pixels as near achromatic then occurs in accordance with the output of the comparison of the adapted threshold value to the component values. | 08-27-2009 |
| 20090214109 | DROPOUT COLOR PROCESSING METHOD AND PROCESSING APPARATUS USING SAME - It is possible to compatibly set multiple “dropout” color ranges and “non-dropout” color ranges and uniquely determine a dropout boundary. An object of the present invention is to greatly conserve maintenance cost of adding a new dropout form after apparatus operations. A conventional technology aims at assuring relation to a predetermined color region, determining the presence or absence of contention, or uniquely settling a dropout boundary. The present invention provides a means for supplying levels to a “dropout” color range and a “non-dropout” color range. A registered color range histogram can be quasi-three-dimensionally visualized so that an operator can make adjustment by viewing a contention determination result and an image. | 08-27-2009 |
| 20090220148 | AUTOMATIC RED EYE ARTIFACT REDUCTION FOR IMAGES - Systems and methods are provided for reducing eye coloration artifacts in an image. In the system and method, an eye is detected in the image and a pupil color for the eye in the image and a skin color of skin in the image associated with the eye are determined. At least one region of artifact coloration in the eye in the image is then identified based on the pupil color and the skin color, and a coloration of the region is modified to compensate for the artifact coloration. | 09-03-2009 |
| 20090263012 | OFFLOADING PROCESSING OF IMAGES FROM A PORTABLE DIGITAL CAMERA - Images are offloaded from a portable camera automatically to a network server at the time the images are taken, transparently to a user of the camera. The server executes processing functions on the images and returns the output of the processing over the network to the camera and/or other user-defined destination device to thereby relieve the camera processor of potentially complex processing chores. | 10-22-2009 |
| 20090324063 | IMAGE PROCESSING METHOD AND APPARATUS FOR CORRECTING SPECIFIC PART - An image processing method and an image processing apparatus capable of correcting with high efficiency a specific part are provided. According to one embodiment of the present invention, an original photographed image file is acquired. If face region information is added to the original photographed image file, this face region information is acquired. Subsequently, a first decoding region is determined based on the acquired face region information, and the first decoding region is decoded to the original photographed image file to generate first decoded image data. Subsequently, a red-eye region is detected from the generated first decoded image data, and specific part position information about a position of this red-eye region is acquired. Subsequently, the original photographed image file is decoded to generate second decoded image data, and a red-eye is corrected for the second decoded image data, based on the acquired specific part position information. | 12-31-2009 |
| 20100008567 | PUPIL COLOR CORRECTION DEVICE AND PROGRAM - An iris color correction apparatus has a skin color identification section which identifies the skin color of a photographed person in an inputted image, a skin correction color calculation section which obtains a skin correction color that is an iris color of said person that should be shown in said image based on the skin color identified by said skin color identification section, a brightness estimation section which estimates a brightness before a color tone abnormality occurs in pixels of an iris portion of said photographed person from a value of said pixels, and a correction section which corrects the iris color of said photographed person based on said estimated brightness and a correction reference color based on said skin correction color. | 01-14-2010 |
| 20100054583 | Method for generating a non-graphical digital image from an original digital image - A method for generating a non-graphical digital image from an original digital image includes the following steps: performing edge detection to generate a third digital image, performing screen dot detection to detect the photo regions in the original digital image, detecting color regions in the original digital image, removing the photo regions and the color regions from the third digital image to generate the non-graphical digital image. | 03-04-2010 |
| 20100061626 | METHOD FOR COMPRESSING ELEVATION MAPS - A method for compressing an elevation map by means of digital image processing, according to which local and global parameters of an elevation map are calculated for sorting the elevation map into a corresponding category and the elevation map is categorized according to the calculated local and global parameters. Optimal parameters for compressing the elevation map are determined according to the calculated local and global parameters and according to the corresponding category and then the elevation map is compressed by applying on it digital image processing by using the determined optimal compression parameters. | 03-11-2010 |
| 20100067784 | CONVERSION TO MONOCHROME IMAGE - Provided is a method of obtaining a monochrome image from a color image, said color image comprising a plurality of color pixels, and having at least two color channels, each pixel of said plurality of color pixels comprising a value for each color channel of said at least two color channels, said monochrome image comprising a plurality of monochrome pixels, each monochrome pixel having a value for a monochrome channel, the method comprising:
| 03-18-2010 |
| 20100177958 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, IMAGE DATA COMPRESSION DEVICE, AND COMPUTER PROGRAM - In image processing in which each small area included in color image data, which is represented by C, M, Y, and K, is expressed by a predetermined number of representative colors, values of color parameters are obtained for a small area from the values of the color parameters for C, M, Y, and K for each pixel in the small area, so that the values of the color parameters have degrees of variation being compensated to become smaller in the group as the value for black becomes larger. One color parameter to be targeted is selected (# | 07-15-2010 |
| 20100177959 | COLOR FORM DROPOUT USING DYNAMIC GEOMETRIC SOLID THRESHOLDING - Dropping out of color form backgrounds from images of completed forms to obtain color form dropout images retaining only the respondent information. In one embodiment, a color form image processing method ( | 07-15-2010 |
| 20100208985 | APPARATUS AND METHOD OF PROCESSING IMAGE, AND RECORD MEDIUM FOR THE METHOD - A method and apparatus for processing an image to create a grayscale image are provided. The method includes converting, in a color image consisting of a plurality of pixels, a pixel value of each pixel in a RGB color space into a pixel value in a new color space through color space conversion, extracting color information using the pixel value in the new color space, calculating a luminance change amount of each pixel using the extracted color information, calculating a luminance value for the grayscale image by combining an original luminance value of each pixel and the luminance change amount, and creating the grayscale image according to the calculated luminance value. In converting color image into grayscale image and representing the grayscale image, the luminance change amount is set according to a property of each color perceived by humans and added to original luminance value, thereby explicitly discriminating among objects. | 08-19-2010 |
| 20100303345 | RED-EYE REDUCTION USING FACIAL DETECTION - A computer-implemented method for detecting a red-eye artifact that includes receiving an image depicting a first eye and a second eye corresponding to a human face, and coordinates corresponding to a location of the first eye and the second eye in the image; calculating a distance between the first eye and the second eye using the received coordinates; obtaining a skin tone sample from the image based on the calculated distance and the received coordinates; generating a skin tone color region in a color space based on the obtained skin tone sample; classifying a pixel corresponding to the first eye as a red-eye pixel by comparing the pixel with the generated skin tone color region and a predetermined red-eye color region; and storing an indication of the classifying relative to the pixel. | 12-02-2010 |
| 20100303346 | IMAGE PROCESSING UNIT, IMAGE PROCESSING METHOD, IMAGING DEVICE - An image processing unit is configured to include a monotone image generator which generates a monotone image from a color image and a color reducer which reduces a color of an image by reducing chroma of the image in accordance with brightness of the image. The color reducer adjusts a tone of the monotone image generated by the monotone image generator by reducing a color of a high brightness portion of the image at a higher level than a low brightness portion of the image. | 12-02-2010 |
| 20100303347 | Red eye reduction technique - A red-eye reduction technique includes converting a multi-channel image to a hue, saturation, value color space. The hue channel, the saturation channel, and the value channel are processed to identify the location of the red-eye within the image, if any. | 12-02-2010 |
| 20110019910 | IMAGE PROCESSING SYSTEM - An image processing system capable of reducing an operation time required to generate a high image quality image, includes an image obtaining section that obtains an input image having been captured; a characteristic region information obtaining section that obtains information indicating a characteristic region in the input image; a model storage section that stores a model representing an object by a character parameter; an image generating section that converts an image of an object included in the characteristic region in the input image into a high image quality image having an image quality higher than an image quality of the input image, by adapting the image of the object included in the characteristic region in the input image to the model; and an output section that outputs an image including the high image quality image and an image other than the characteristic region. | 01-27-2011 |
| 20110038533 | IMAGE PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a definition reducing section, a color region extracting section, a concealing image generating section and an image combining section. The definition reducing section, based on a received image, generates an image having a lower definition than the received image. The color region extracting section extracts a color region from the low definition image generated by the definition reducing section. The concealing image generating section, based on the color region extracted by the color region extracting section, converts the color region into a concealing region for concealing a part of the received image and, generates a concealing image including the concealing region. The image combining section combines the received image with the concealing image generated by the concealing image generating section. | 02-17-2011 |
| 20110038534 | WAVELET DETECTOR FOR FINDING SIMILARITIES BETWEEN MAJOR BOUNDARIES IN IMAGES - A method of and a system for finding similarities between major boundaries of images using a wavelet detector is described herein. Unimportant edges of the image are disregarded by eliminating Gaussian wavelet coefficients and Haar wavelet coefficients of lower significance. Comparison between the images is made on the basis of quantized color, sign and magnitude of the Haar wavelet coefficients. The method performs the comparison between images in two steps. First, the method checks for exact matches between the Haar wavelet coefficients to determine whether the images are very similar. This is followed by binning of the coefficients into nine spatial bins in the image. A representative is assigned to each of the bins in terms of color, orientation and sign. Each bin of one image is compared with all the bins of the other image. Thus, images that are similar but not identical are still detected. | 02-17-2011 |
| 20110091100 | Apparatus and method of removing false color in image - An image processing method and apparatus is provided, with which a size of a filter window may be decreased by determining an edge direction of each of the pixels constituting an image and by vertically applying an anisotropic filter window to the determined edge direction. | 04-21-2011 |
| 20110158514 | METHOD FOR REMOVING COLOR FRINGE IN DIGITAL IMAGE - A method for removing color fringe is presented. Separated luminance and chrominance (YCbCr) signals of a digital image are analyzed through specific color detection, luminance detection, and gradient color detection, so as to determine whether color fringe occurs to each pixel in the digital image, thereby correcting pixels with color fringe. | 06-30-2011 |
| 20110158515 | METHOD FOR REMOVING COLOR FRINGE IN DIGITAL IMAGE - A method for removing color fringe is presented. First, detection and correction of color fringe are performed on an original-size image and a small-size image respectively, so as to generate respective corrected images and corresponding color fringe maps. Then, the corrected small-size image and its corresponding color fringe map are enlarged to the same resolution as the original-size image. Finally, the two corrected images are blended according to the respective corresponding color fringe maps. | 06-30-2011 |
| 20110176726 | METHOD OF CONVERTING COLOR IMAGE INTO GRAYSCALE IMAGE AND RECORDING MEDIUM STORING PROGRAM FOR PERFORMING THE SAME - Provided are a color to grayscale image conversion method of converting a color image into a grayscale image while maintaining original features of the color image, and a recording medium storing a program for performing the same. When an original color image is input, a target gradient with the features of the input original color image is acquired, and a global mapping function for converting the original color image into a grayscale image is determined based on the acquired target gradient. Thereafter, the original color image is converted into a grayscale image using the determined global mapping function. Therefore, it is possible to quickly convert a color image into a grayscale image, and to acquire a high-quality grayscale image with features of color difference included in the original color image. | 07-21-2011 |
| 20110216968 | SMART IMAGE RESIZING WITH COLOR-BASED ENTROPY AND GRADIENT OPERATORS - A system and method for resizing a digitally represented color image are presented. A color image with pixels defined by luminance and at least one chrominance value is received. For each pixel of the color image, a luminance spatial variation and respective chrominance spatial variations in the respective neighborhood of the each pixel are computed. The luminance spatial variation and the respective chrominance spatial variations are combined to produce a respective importance value for each pixel. Selected pixels are identified based upon their respective importance values and are removed by seam carving of the color image. The seam carving identifies seams of pixels based upon the respective importance values of pixels within the seams of pixels to create a resized color image. The resized color image is produced to an image output device. | 09-08-2011 |
| 20110262034 | TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 10-27-2011 |
| 20110280476 | SYSTEM AND METHOD FOR AUTOMATICALLY LAYING OUT PHOTOS AND COLORING DESIGN ELEMENTS WITHIN A PHOTO STORY - A system and method are described for automatically laying out photos within a photo story and automatically selecting colors for design elements based on the main colors in each of the photos. For example, a method according to one embodiment comprises: quantizing a photo used for the photo story, the photo initially having a predefined number of colors, wherein the quantizing reduces the number of colors to N colors; determining usage values for each of the N colors to determine the most used colors in the photo; and selecting a color for a photo story design element based on the usage values for each of the N colors. | 11-17-2011 |
| 20120020552 | IMAGE PROCESSING APPARATUS, COMPUTER READABLE MEDIUM FOR PROCESSING IMAGE AND METHOD FOR PROCESSING IMAGE - An image processing apparatus includes an influence value setting unit that sets an influence value on a pixel of interest in a local region of an image, the influence value being a color difference in the local region, and a color region processing unit that treats the pixel of interest as a pixel in a region of a representative color when a color of the pixel of interest is within a range from the representative color to the threshold value, the threshold value being set such that the threshold value increases as the influence value increases. | 01-26-2012 |
| 20120134580 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - Unevenness in density (line noise) resulting from color misregistration among RGB components in a halftone region or a line screen region is suppressed. With respect to a document that is discriminated as a printed photo document or a text/printed photo document that includes black halftones by a document type discrimination section, or to a region segmented into a black halftone region by a segmentation section, a non-uniform image suppressing operation mode is executed. In the non-uniform image suppressing operation mode, a black generation and under color removal section does not carry out a black generation and under color removal process on a pixel in which a minimum value of the image data of the plurality of color components is at least equal to or less than a predetermined threshold. | 05-31-2012 |
| 20120237121 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM FOR STORING IMAGE PROCESSING PROGRAM - An image processing device includes: a separating unit configured to separate colors of a plurality of pixels included in an input color image into a plurality of color groups on the basis of similarities between the colors of the pixels; and a conversion unit configured to generate a monochrome image by performing correction on each of the pixels of the color image on the basis of a grayscale representation assigned to each of plurality of the color groups. | 09-20-2012 |
| 20130223728 | IMAGE PROCESSING APPARATUS - An image processing apparatus includes a reduction unit and a compression unit. The reduction unit is configured to execute color-number reduction processing for each block configured by a plurality of pixels included in a processing target image expressed by processing target image data, the color-number reduction processing including reducing the number of colors expressed by the plurality of pixels in the block to generate image data having the reduced number of colors from the processing target image data, a gradation-number of each color value included in the image data having the reduced number of colors being the same as a gradation-number of each color value included in the processing target image data. The compression unit is configured to execute compression processing using the image data having the reduced number of colors to generate compressed image data. | 08-29-2013 |
| 20130236091 | METHOD AND INTERFACE FOR CONVERTING IMAGES TO GRAYSCALE - A method and apparatus for generating a grayscale image. The method and apparatus receive a single value. From the single value, the method and apparatus generate a set of grayscale weighting values. The method and apparatus generate the grayscale based on a color image and the set of grayscale weighting values. By limiting the number of values to a single value, the method and apparatus prevents a user from arbitrarily selecting a number of possible weighting values which could result in a grayscale image that is too dim or too bright. This single control method and apparatus quickly and efficiently produces a grayscale image that is neither too bright nor too dim. | 09-12-2013 |
| 20130322746 | SYSTEMS AND METHODS FOR YCC IMAGE PROCESSING - Systems and methods for processing YCC image data provided. In one example, an electronic device includes memory to store image data in RGB or YCC format and a YCC image processing pipeline to process the image data. The YCC image processing pipeline may include receiving logic configured to receive the image data in RGB or YCC format and color space conversion logic configured to, when the image data is received in RGB format, convert the image data into YCC format. The YCC image processing logic may also include luma sharpening and chroma suppression logic; brightness, contrast, and color adjustment logic; gamma logic; chroma decimation logic; scaling logic; and chromanoise reduction logic. | 12-05-2013 |
| 20140093162 | IMAGE PROCESSING APPARATUS AND PIXEL INTERPOLATION METHOD - A color separating unit separates a color image into plural color components to generate images of respective colors. A periodicity determining unit determines, for each of the color images, whether an image region including a target pixel whose pixel value is to be interpolated is a periodic region in which pixel values vary periodically. A first generating unit generates pixel values of the respective colors of a pixel using a first interpolation method. A second generating unit generates pixel values of the respective colors of a pixel using a second interpolation method. A control unit determines which one of the first and second generating units is to be used for generating pixel values of the respective colors of the target pixel. A pixel value combining unit combines candidate pixel values which are the pixel values of the respective colors of the target pixel to calculate a combined pixel value. | 04-03-2014 |
| 20140193067 | METHOD FOR CONVERTING A FULL COLOUR IMAGE TO A MONOCHROME IMAGE - A method for converting a full color image to a monochrome image is provided, wherein the color values of pixels are decomposed in a luminance and a chrominance component. Both components are converted to a grayscale value representing an intensity of a pixel. The luminance grayscale value is in a limited range close to a light end of the available grayscale. The chrominance grayscale value is closer to the dark end of the available grayscale when the chrominance component of the color value is larger. The darkest value of the two converted values is selected for a corresponding pixel. The effect of this conversion is that colored pixels are darker than colorless pixels, which is useful to highlight parts of a monochrome image that stand out because of their color in a full color image. It is particularly useful to help color blind people recognize colored parts of an image. | 07-10-2014 |
| 20140247979 | METHOD AND DEVICE FOR GENERATING HIGH DYNAMIC RANGE IMAGES - A method of generation, by a digital processing device, of a first high dynamic range digital image from second and third digital images of a same scene, including, for at least one point of the first image: determining a brightness index; comparing this index with at least one of first, second, third, and fourth decreasing thresholds stored in a memory; and determining the value of the point by taking into account the value of the index. | 09-04-2014 |
| 20140341466 | NOISE ESTIMATION FOR IMAGES - Implementations relate to estimating noise in images. In some implementations, a method includes extracting a plurality of sample blocks of pixels from a received image, where each sample block includes a subset of pixels of the image. One or more of the sample blocks are examined for texture content based on whether the sample blocks include one or more edges based on a predetermined threshold. At least one sample block determined to include texture content is removed. The method determines one or more average color variances based on the remaining sample blocks that have not been removed, where noise estimations for the image are based on the average color variances. | 11-20-2014 |
| 20150049939 | METRIC-BASED RECOGNITION, SYSTEMS AND METHODS - Apparatus, methods and systems of object recognition are disclosed. Embodiments of the inventive subject matter generates map-altered image data according to an object-specific metric map, derives a metric-based descriptor set by executing an image analysis algorithm on the map-altered image data, and retrieves digital content associated with a target object as a function of the metric-based descriptor set. | 02-19-2015 |
| 20150071530 | IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - The present invention relates to an image processing apparatus and method, and a program that are capable of displaying images more easily and effectively. | 03-12-2015 |
| 20160005203 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - In a case where a position of a recognized cell is shifted from a position of a ruled line of an actual cell, if the recognized cell is deleted, a part of the ruled line of the actual cell is deleted. According to an aspect of the present invention, straight lines are detected from regions around four sides constituting the recognized cell, and an inside of a region surrounded by the detected straight lines is deleted. | 01-07-2016 |
| 20160188993 | SYSTEM AND METHOD FOR MEASURING MOBILE DOCUMENT IMAGE QUALITY - A system and method for detecting the quality of a captured digital image depicting a hardcopy document are disclosed. The captured digital image is analyzed to determine a corresponding blurriness, noise, hotspot, and uneven illumination metric representing a quality level of the image data. The blurriness, noise, hotspot, and uneven illumination metrics are then combined to formulate a pass/caution/fail indicator for the user to respond to the captured digital image quality. | 06-30-2016 |
| 20160379340 | Wavelet-based Image Decolorization and Enhancement - The present invention relates to image processing. More particularly, the present invention provides methods for efficient image decolorization and color image enhancement. The methods of the present invention comprise decolorization in frequency domain, adaptive brightness control for an enhanced grayscale image and color image enhancement. The present invention is able to improve sharpness and fine details in both enhanced grayscale and color images. | 12-29-2016 |
| 20180025509 | IMAGE PROCESSING APPARATUS REPLACING COLOR OF PORTION IN IMAGE INTO SINGLE COLOR, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM | 01-25-2018 |
