Abstract: Provided is a layout editing device, a layout editing method, and a recording medium. The layout editing device includes a layout editing unit editing a layout, which is displayed on an editing screen of a screen display unit, based on the instruction of a user, an image analysis unit performing image analysis of each of a plurality of images, a preference estimation unit estimating the preference of the user based on the layout editing result and the image analysis result, an image evaluation unit calculating the evaluation value of each of the plurality of images based on the preference of the user and the image analysis result, and an edit assisting unit displaying assist information, which is for assisting the editing work of the layout by the user, on the editing screen of the screen display unit based on the evaluation value of each of the plurality of images.

Abstract: In an image-encoding scheme, an input image is decomposed into several image blocks comprising multiple image elements. The image blocks are encoded into encoded block representations. In this encoding, color weights are assigned to the image elements in the block based on their relative positions in the block. At least two color codeword are determined, at least partly based on the color weights. These codewords are representations of at least two color values. The original colors of the image elements are represented by color representations derivable from combinations of the at least two color values weighted by the assigned color weights.

Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: The present invention provides a method for analyzing a digital image comprising a plurality of pixels representing a scene. The method comprising steps of obtaining pixel chromaticity information, providing, combinations each having a corresponding surface and a corresponding illuminant, performing a global scene surface-illuminant classification by determining hypothesis scores, accumulating hypothesis scores, thereby obtaining a global illuminant/surface statistic representing an estimate of a distribution of illuminants and/or surfaces in the scene as represented by the digital image. Other methods are also provided. Apparatuses for carrying out the methods are also provided.

Abstract: The present disclosure relates to an image processing device and method. The device includes: an acquiring unit for acquiring an image containing an object image; a calculating unit for calculating one or more candidate object image areas based on color and edge characteristics of the image; a selecting unit for selecting a candidate object image area with the maximal similarity to a predetermined color model as a first object image area from the one or more candidate object image areas; a determining unit for determining other of the one or more candidate object image areas as a non-object image area or a second object image area with the first object image area; a creating unit for creating an adaptive color model; and a detecting unit for detecting, based on the adaptive color model, an area containing the object image in the each of the first and second object image areas.

Abstract: The subject of the present invention is a method for characterizing the distribution of the volumes of the surface of the skin of an individual, more particularly applicable in the evaluation of the effect of firming cosmetic products. This method uses the isolines and the gradients of the slopes computed from a three-dimensional representation of the surface of the skin.

Abstract: A system uses image data, representing images to be displayed in successive frames, to drive a display having pixels that include a drive transistor and an organic light emitting device by dividing each frame into at least first and second sub-frames, supplying the image data during one of the sub-frames, supplying compensation data during the other of the sub-frames, compensating image data based on the compensation data, and supplying each pixel with a drive current that is based on the compensated image data during each frame. The compensated image data may be supplied from a driver having a preselected data resolution, and the system determines whether the compensated image data is greater than the data resolution of the driver, and if the compensated image data is greater than the data resolution of the driver, transfers the excess compensated image data to a different sub-frame.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: A process for training and optimizing a system to select video frames for optical character recognition (OCR) based on feature metrics associated with blur and sharpness. A set of image frames are subjectively labelled based on a comparison of each frame before and after binarization to determine to what degree text is recognizable in the binary image. A plurality of different sharpness feature metrics are generated based on the original frame. A classifier is then trained using the feature metrics and the subjective labels. The feature metrics are then tested for accuracy and/or correlation with subjective labelling data. The set of feature metrics may be refined based on which metrics produce the best results.

Abstract: A computer implemented method, system and computer program product for identifying the Main Colors and the matching colors of a visual object, and then viewing on a mobile device select items comprising the matching colors, such as from a merchant's catalog. A visual object is analyzed for color content, and the results are stored on a system database located on the device or on a remote server. The color analysis of the objects comprise advanced image processing techniques, such as Main Color extraction using color space transformation comprising HSV, RGB and CYMK to map between pixels in the image. The user can subsequently view a display on their mobile identifying the visual object's Main Colors and at least one Harmonic Color; and then select and view all items (i.e. products in a database) comprising one Harmonic Color, and/or all items of a specific type and Harmonic Color.

Abstract: A method for display-independent execution of a computerized guidance script, the method comprising capturing a screenshot of a graphical user interface (GUI) of a computerized application, analyzing the screenshot for matching a control of the screenshot with a control of the guidance script, and executing the guidance script, based on the matching, to operate the computerized application. Additionally, a display-independent computerized guidance engine, comprising a screenshot analysis engine and a guidance script execution engine.

Abstract: An device, method and program may properly perform gamut conversion of content and be applied to a gamut conversion device. A restoration conversion state confirming unit performs confirmation such as gamut conversion state of image data read out from an optical disc and the existence or not of restoration metadata. An information exchange unit communicates with an output device via a communication unit and performs information exchange such as the existence or not of restoration processing functionality and gamut conversion functionality and the like. A determining unit determines whether or not restoration processing is performed with a playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit. Similarly, the determining unit determines whether or not to perform gamut conversion processing with the playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit.

Abstract: Computer-readable storage media, computing devices and methods are discussed herein. In embodiments, a computing device may be configured to perform facial recognition based on gradient based feature extractions of images of faces. In embodiments, the computing device may be configured to determine directional matching patterns of the images from the gradient based feature extraction and may utilize these directional matching patterns in performing a facial recognition analysis of the images of faces. Other embodiments may be described and/or claimed.

Abstract: A color information obtaining unit obtains color information of an attention point or an attention area within a target image. A similarity information obtaining unit obtains similarity information related to a level of similarity between color information of an image that is stored in a storage in advance and the color information obtained by the color information obtaining unit. A notification unit causes an output unit to output a notification based on the similarity information.

Abstract: Techniques for displaying images of different dynamic ranges in a display system are provided. In some embodiments, images that have a number of dynamic ranges may be normalized to a configured dynamic range that corresponds to the full intensity reproduction capability of the device. The configured dynamic range may be wider, greater, or deeper than the relatively limited dynamic range.

Abstract: A character recognition method may include at least the following steps. A location step may include acquiring an image and locating a character region of the image. The character region may include a character and a local background. The method may further include a background judgment step for determining whether the local background is a complex background; a determination step for determining a color of the character if the local background is a complex background; a construction step for constructing a mask for the character by combining the color of the character and a character region; and a first recognition step for extracting the character from the character region by using the mask, recognizing the character, and outputting the recognition result. A character recognition device is further provided.

Abstract: A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values.

Abstract: System and methods are provided for performing saturation adjustment of one or more pixels. In one embodiment, an input color value of a pixel is received. The input color value includes an input saturation component. An adjusted color value is extracted from a predetermined look-up table that maps the input color value to the adjusted color value, the adjusted color value having an adjusted saturation component that is different from the input saturation component. The adjusted color value is output.

Abstract: An image processing system combines higher-resolution panchromatic images and lower resolution multispectral images using a hyperspherical color space pan-sharpening technique. By converting the multispectral images into a hyperspherical color space, the intensities of the multispectral images can be intensity matched to the intensities of the panchromatic image and then retransformed back to the original color space. The intensity matching can utilize a number of techniques, including, but not limited to, direct substitution of the intensities of the panchromatic image for the intensities of the multispectral images, modification of the intensities of the multispectral images based on predefined statistical models and modification of the intensities of the multispectral images based on dynamically generated statistical models and a selected sharpening parameter ?.

Abstract: A data processing method that includes: detecting a maximum data cell having a maximum value and a minimum data cell having a minimum value in a compression unit cell; converting the maximum data cell and the minimum data cell into a non-compressed data format; converting remaining data cells of the compression unit cell except for the maximum and minimum data cells into a compressed data format; and generating stream data in which the converted data cells are arranged, wherein the non-compressed data format and the compressed data format include a header field with different values and the non-compressed data format includes a data field corresponding to the value of the converted maximum or minimum data cell.

Abstract: A feature tracking technique for detecting and tracking feature points with primary colors. An energy value may be computed for each color channel of a feature. If the energy of all the channels is above a threshold, then the feature may be tracked according to a feature tracking method using all channels. Otherwise, if the energy of all of the channels is below the threshold, then the feature is not tracked. If the energy of at least one (but not all) of the channels is below the threshold, then the feature is considered to have primary color, and the feature may be tracked according to the feature tracking method using only the one or more channels with energy above the threshold. The feature tracking techniques may, for example, be used to establish point trajectories in an image sequence for various Structure from Motion (SFM) techniques.

Abstract: Methods, apparatus, and computer-readable storage media for patch-based image synthesis using color and color gradient voting. A patch matching technique provides an extended patch search space that encompasses geometric and photometric transformations, as well as color and color gradient domain features. The photometric transformations may include gain and bias. The patch-based image synthesis techniques may also integrate image color and color gradients into the patch representation and replace conventional color averaging with a technique that performs voting for colors and color gradients and then solves a screened Poisson equation based on values for colors and color gradients when blending patch(es) with a target image.

Abstract: A method includes sampling a first intensity of light with a first array of photo detectors of a digital camera. A second intensity of light is sampled with a second array of photo detectors of the digital camera. A first channel processor coupled to the first array of photo detectors generates a first image using first array data which is representative of the first intensity of light sampled by the first array of photo detectors. A second channel processor coupled to the second array of photo detectors generates a second image using second array data which is representative of the second intensity of light sampled by the second array of photo detectors. The first array of photo detectors, the second array of photo detectors, the first channel processor, and the second channel processor are integrated on or in a semiconductor substrate.

Abstract: A color palette can be a collection of representative colors each associated with a weight or other metadata. A computing system may generate a color palette based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation and palette determination. Representative colors with associated weight can be identified from a distribution of colors depicted by the color image, multiple palette candidates corresponding to the same color image can be generated based on various palette generation criteria, and a color palette can be identified therefrom.

Abstract: A system and method, which may be an offline method, extracts relevant image features about images in a network-based publication system for enabling image similarity searching of such images. An image is uploaded and may be sent to a picture processing service, which generates digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve images by image similarity at scale. A similar process can be performed for an image query for searching the search database for images similar to the image.

Abstract: A procedure for image segmentation on three-dimensional (3D) medical images, and a system, apparatus, and computer program that operate in accordance with the procedure. The procedure includes generating a projection including an anatomic structure, tracing a curve corresponding to the anatomic structure, extracting a curved volume of interest based on the curve and the projection, and extracting a segmentation of the anatomic structure. Also provided is a procedure for aligning anatomic structures in images, and a system, apparatus, and computer program that operate in accordance with the procedure. The procedure includes determining part of a biliary system in a first image, determining part of a hepatic portal vein or a hepatic artery in a second image, determining a gallbladder in the images, determining a cost function, and aligning the biliary system and the hepatic portal vein or hepatic artery by maximizing the cost function.

Abstract: A method and system for describing image region based on color histogram is provided. The method for describing an image region based on color histogram comprising: a color quantization step for quantizing said image region into a quantized color region, wherein a specific color range and colors outside the specific color range are differently treated in the quantizing; a color histogram calculation step for computing one or more color histograms according to said quantized color region; and a histogram assembling step for generating a unique vector by using said one or more color histograms.

Abstract: Enhancing image dynamic range is described. An input video signal that is represented in a first color space with a first color gamut, which is related to a first dynamic range, is converted to a video signal that is represented in a second color space with a second color gamut. The second color space is associated with a second dynamic range. At least two (e.g., three) color-related components of the converted video signal are mapped over the second dynamic range.

Abstract: Methods and systems for providing real time correlation mark images and/or gloss marks. A new font can be created with respect to a prior font, wherein the new font includes a wider foreground than that of the prior font while maintaining the spatial frequency associated with the prior font (one time per font). The new font is then modified to include an inverted modified font by inverting each glyph one time per font and providing an image having the new font. The image is then written and the current color associated with the image is set to white (or to knockout). An operation is then implemented to write on top of the image using the new font.

Abstract: A plurality of printing conditions and designated color information are acquired, and it is judged whether a designated color specified from the designated color information can be reproduced under the printing conditions or not. On condition that at least one of the printing conditions under which the designated color cannot be reproduced is judged as being present, then a substitute color that is different from the designated color is determined in order to increase the number of the printing conditions under which the designated color can be reproduced. A display device displays visible information (colorimetric value display field, color difference display field, and color patch group) with respect to the substitute color.

Abstract: The present disclosure provides a stream processor, an associated stream controller and compiler, and associated methods for data processing, such as image processing. In some embodiments, a method includes defining a kernel pattern associated with an image frame, and processing the image frame using the defined kernel pattern. The method can further include generating a kernel switch lookup table based on the defined kernel pattern. In various implementations, the stream controller is operable to direct execution of kernels on the image frame according to the defined kernel pattern and the kernel switch lookup table.

Abstract: A plant species identification apparatus for identifying plant species is disclosed. A reference data storage part stores reference spectral data which indicate a reflectance spectral feature classified by area segments including a sunlit portion and a shaded portion in addition to the plant species. A data input part acquires hyperspectral data to be a target. A determination part specifies the reflectance spectral feature of a pixel for each of pixels of the hyperspectral data from the reference data storage part and to determine the plant species of the pixels based on a classification of the reference spectral data.

Abstract: In an object tracking device, a search region setting unit sets the search region of an object in a frame image at a present point in time, based on an object region in a frame image at a previous point in time, zoom center coordinates in the frame image at the previous point in time, and a ratio between the zoom scaling factor of the frame image at the previous point in time and the zoom scaling factor of the frame image at the present point in time. A normalizing unit normalizes the image of a search region of the object included in the frame image at the present point in time to a fixed size. A matching unit searches the normalized mage of the search region for an object region similar to a template image.

Abstract: The present disclosure relates to detecting the location of a face feature point using an Adaboost learning algorithm.

Abstract: The method and system may be used to provide an indication of a color value for a particular siding sample and to color match a specific siding product to the color value of the siding sample. The system receives a digital image of a siding sample and a desired color value to be matched. A color query module plots this desired color value as a desired color point in a multidimensional color space together with a plurality of color reference points. Each color reference point represents the color value of an existing siding product. The system determines a “distance” between the desired color point and each plotted color reference point within the color space and identifies the siding product associated with the color reference point that is located the shortest distance to the desired color point within the color space.

Abstract: When a printing fee is changed, if a printing fee is changed to one for a color amount that is smaller than an actual color amount of an input image, an image processing apparatus automatically performs image processing in order to maximize the color amount at the selected printing fee and prints an image processing result.

Abstract: An image processing device for generating depth data, utilizing the a first image and a second image which are captured from different viewpoints, the image processing device including: a disparity value calculation unit which calculates, for each of plural representative pixels included in pixels in the first image, a disparity value of the representative pixel, based on a positional relationship between the representative pixel and a pixel corresponding to the representative pixel, in the second image; a segmentation unit which partitions the first image into plural segments, based on a similarity between pixel values; and a depth data generation unit which determines, for each segment, a disparity value of the segment, based on the disparity value of the representative pixel included in the segment to generate depth data indicative of depths corresponding to the plural segments.

Abstract: Provided is an image processing device including a data conversion processing unit that receives an input of an RGBW array image and generates an RGB array image as an output image. The data conversion processing unit includes a pixel interpolation unit that calculates interpolated pixel values corresponding to an array of the RGB array image by performing a pixel interpolation process on the RGBW array image, a purple fringe detection unit that detects whether each pixel is a purple fringe pixel by analyzing the RGBW array image, a corrected value calculation unit that calculates corrected pixel values by correcting pixel values of the purple fringe pixels, and a blend processing unit that calculates constituent pixel values RGB of the output image by performing a blend process of blending the interpolated pixel values calculated by the pixel interpolation unit with the corrected pixel values calculated by the corrected value calculation unit.

Abstract: A computer implemented method, system and computer program product for identifying the Main Colors and the matching colors of a visual object, and then viewing on a mobile device select items comprising the matching colors, such as from a merchant's catalogue. A visual object is analyzed for color content, and the results are stored on a system database located on the device or on a remote server. The color analysis of the objects comprise advanced image processing techniques, such as Main Color extraction using color space transformation comprising HSV, RGB and CYMK to map between pixels in the image. The user can subsequently view a display on their mobile identifying the visual object's Main Colors and at least one Harmonic Color; and then select and view all items (i.e. products in a database) comprising one Harmonic Color, and/or all items of a specific type and Harmonic Color.

Abstract: Exemplary image calibration systems and methods are described herein. An exemplary method includes an image calibration system receiving data representative of an input camera image, detecting a face of a person represented in the input camera image, determining a predefined skin tone template associated with the person, and modifying the input camera image to change an appearance of the face of the person based on the predefined skin tone template associated with the person. In certain embodiments, the modification changes one or more skin tones represented by an image of the face of the person in the camera image based on the predefined skin tone template. Corresponding methods and systems are also disclosed.

Abstract: An image apparatus for providing an estimated illuminant of a scene and subsequently providing an adjusted image of the scene includes a capturing system and an illuminant database. The capturing system captures information for an input image of the scene. The input image is defined by a plurality of input colors. The illuminant database includes a separate subspace of information for a plurality of possible illuminants. The subspaces can be created from multi-dimensional color information from its respective possible illuminant that is computed using Principal Components Analysis. This allows for more accurate illuminant estimation of the scene and the use of Principal Components Analysis to generate the one or more subspaces allows for accurate and relatively easy generation of the subspaces. Additionally, the image apparatus can include a control system that compares the input colors to the subspaces in the illuminant database.

Abstract: Described is a system for selective color processing for vision systems. The system receives a multi-band image as input. As an optional step, the multi-band image is preprocessed, and a transformation is performed to transform the multi-band image into a color space. A metric function is applied to the transformed image to generate a distance map comprising intensities which vary based on a similarity between an intensity of a pixel color and an intensity of a target color. A contrast enhancement process is applied to the distance map to normalize the distance map to a range of values. The range of values is expanded near the intensity of the target color. Finally, an output response map for the target color of interest is generated, such that the output response map has high responses in regions which are similar to the target color to aid in detection and recognition processes.

Abstract: An image processing apparatus includes: a decomposing section that decomposes a luminance component of a given original image into a plurality of band images in respective bands; a band intensity calculating section that calculates band intensities of the respective band images; and a determining section that determines band selection information indicating an emphasis band and band emphasis information to be used for controlling a degree of image emphasis based on the band intensities of the respective bands.

Abstract: A method of tone mapping high dynamic range images for display on low dynamic range displays wherein a high dynamic range image is first accessed. The high dynamic range image is segmented into different regions such that each region is represented by a matrix, where each element of the matrix is a weight or probability of a pixel. An exposure of each region is determined or calculated and the exposure values are applied to the regions responsive to the weight or probability. The different regions are then fused together to obtain a final tone mapped image.

Abstract: A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories.

Abstract: An improved method of high accuracy beam placement for local area navigation in the field of semiconductor chip manufacturing. Preferred embodiments of the present invention can also be used to rapidly navigate to one single bit cell in a memory array or similar structure, for example to characterize or correct a defect in that individual bit cell. High-resolution scanning is used to scan only a “strip” of cells on the one edge of the array (along either the X axis or the Y axis) to locate a row containing the desired cell followed by a similar high-speed scan along the located row (in the remaining direction) until the desired cell location is reached. This allows pattern-recognition tools to be used to automatically “count” the cells necessary to navigate to the desired cell, without the large expenditure of time required to image the entire array.

Abstract: A registration image including a desired target can easily be registered. A domain near an assigned position assigned by a user on a photographed image is extracted from the photographed image to generate a search image, a classifier performs the processing to the generated search image, and a processing domain having the largest number of hierarchies to which a weak classifier can perform the processing is extracted from the photographed image to generate the registration image.

Abstract: A method of converting a video file to a Graphics Interchange Format (GIF) image includes converting a plurality of frames of a video file into corresponding frames of a GIF image, creating a first palette table for defining colors in each frame of a first set of consecutive frames of the GIF image, and creating a second palette table for defining colors in each frame of a second set of consecutive frames of the GIF image, wherein the first palette table is not equal to the second palette table and each frame in the first set of consecutive frames is distinct from each frame in the second set of consecutive frames.

Abstract: A method of controlling an image forming apparatus supporting a black optimization printing option in a host apparatus includes executing a printer driver of the image forming apparatus, setting the black optimization printing option in a user interface of the executed printer driver, generating a second color matching table by using an existing first color matching table and color properties corresponding to red, blue, and green values of a document to be printed based on the set black optimization printing option, selecting a first printing method to print the document by using the first color matching table or a second printing method to print the document by using the second color matching table, based on the red, green, and blue values of the document, and transmitting the document and print data of the document to which a color matching table corresponding to the selected printing method is applied to the image forming apparatus.

Abstract: An information processing device, configured to perform color gamut conversion for compressing or enlarging the color gamut of image data, includes: a selecting unit configured to select a plurality of coordinate movement directions to be synthesized for determining the coordinate movement destination of a pixel to be processed during the color gamut conversion; a coordinate moving unit configured to move the coordinates of the pixel to be processed in each of the selected plurality of directions; and a synthesizing unit configured to synthesize coordinate movement in the selected plurality of directions.