Abstract: An image processing apparatus obtains first information including reflective characteristics of an object to be reproduced and second information including transmissive characteristics of the object to be reproduced. Then, the image processing apparatus determines the amount of coloring material for each pixel of an image representing the object to be reproduced based on the first information and the second information.

Abstract: A gamut mapping method. The method includes: inputting an original display image; transforming the original display image to obtain a frequency-domain image in a frequency domain; determining a first portion and a second portion of the frequency-domain image in the frequency domain; respectively transforming the first portion and the second portion of the frequency-domain image to obtain a first portion and a second portion of a transformed image in the spatial domain; respectively utilizing different gamut mapping principles to the first portion and the second portion to perform gamut mapping between the first portion and the second portion of the transformed image and the target device; synthesizing the first portion and the second portion to obtain a final display image. In the present invention, different frequency portions of the image perform gamut mapping independently, and the mapping result is synthesized to obtain a final image.

Abstract: This disclosure relates to generating a bump map and/or a normal map from an image. For example, a method for generating a bump map includes receiving a texture image and a plurality of user-specified weights. The method further includes deriving a plurality of images from the texture image, the plurality of images vary from one another with respect to resolution or sharpness. The method further includes weighting individual images of the plurality of images according to the user-specified weights. The method further includes generating a bump map using the weighted individual images. The method further includes providing an image for display with texture added to a surface of an object in the image based on the bump map.

Abstract: A processing device generates composite images from a sequence of images. The composite images may be used as frames of video. A foreground/background segmentation is performed at selected frames to extract a plurality of foreground object images depicting a foreground object at different locations as it moves across a scene. The foreground object images are stored to a foreground object list. The foreground object images in the foreground object list are overlaid onto subsequent video frames that follow the respective frames from which they were extracted, thereby generating a composite video.

Abstract: A high dynamic range video processing method performs merging and tone mapping techniques after a Bayer filter mosaic technique is performed and then converts it to red green blue (RGB) at the end as opposed to converting into RGB at the beginning and then performing merging and tone mapping after. The HDR processing is performed on Bayer-mosaic images and no de-mosaicing and color space conversions are required. The merging procedure has two modes: full-reset merging and LDR-updated merging. The first mode, full-reset merging, creates an HDR frame once the system has all image frames captured. The second mode, LDR-updating merging, means that any new HDR frame is obtained by an updating of a previous HDR frame with a new LDR frame data.

Abstract: A control method for controlling a skin analysis device is a control method for controlling a skin analysis device including a camera for obtaining a face image of a subject, a display for displaying the face image of the subject, and a computer, wherein the control method causes the computer of the skin analysis device to execute: obtaining the face image of the subject; determining a target extraction criterion for each of a plurality of skin areas of the face image based on a position on the face image; and extracting a target that satisfies the determined extraction criterion from the face image; and displaying the extracted target on the display of the skin analysis device.

Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

Abstract: In a histogram intersection calculating apparatus, a histogram intersection calculating unit calculates a histogram intersection to compare histograms of query data and target data to obtain a score value of the histogram intersection. A calculation controlling unit makes the histogram intersection calculating unit calculate the histogram intersection in descending order of bin number of the histogram of the query data from the bin number having the maximum frequency value by using frequency values in the bin numbers of the query data and frequency values in the bin numbers of the target data to obtain a score value of the histogram intersection.

Abstract: A slow change detection system includes: an image acquisition unit adapted to acquire a photographed image including consecutive images of a monitored object; a reference image acquisition unit adapted to acquire a reference image corresponding to the photographed image of the monitored object; a reference image area extraction unit adapted to extract, from the reference image, a reference image area that is an area corresponding to a photographed area of the photographed image; a change detection unit adapted to acquire a change area that is an area of the photographed image which is different from the reference image area and acquire a slow change area by excluding, from the acquired change area, a sudden change area derived from a history of the change area; and a display control unit adapted to superimpose and display information indicating the slow change area on the photographed image.

Abstract: Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

Abstract: A makeup supporting device includes: a makeup presentation unit that generates a simulation image by superimposing a makeup image on an image obtained by photographing a face, the makeup image indicating a state in which makeup is applied to the face; a makeup correction unit that receives correction of the makeup image included in the generated simulation image from a user; and a correction information recording unit that records correction information which indicates a region of a post-correction makeup image using a relative position to a facial feature points.

Abstract: Embodiments disclosed herein are directed to systems and methods for determining a presence and an amount of an analyte in a biological sample. The systems and methods for determining the presence of an analyte utilize a plurality of images of a sample slide including multiple fields-of-view having multiple focal planes therein. The systems and methods utilize algorithms configured to color and grayscale intensity balance the plurality of images and based thereon determine if the plurality of images contain the analyte therein.

Abstract: A image processing method includes computing an initial phase corresponding to a difference between a position of a first pixel of an input image and a position of a first pixel of an output image using at least one of scaling ratio information between the input and output images, chroma subsampling format conversion information applied between the input and output images, or rotation angle information of the input image, and determining the position of the first pixel of the output image based on the initial phase and the position of the first pixel of the input image.

Abstract: A method for generating a personalized scaffold for an individual includes acquiring images of an anatomy of interest corresponding to an intended scaffold location and acquiring test results related to the anatomy of interest. One or more functional specifications are generated based on the images and test results and one or more scaffold parameters are selected based on the functional specifications. A final scaffold may then be generated using the one or more scaffold parameters.

Abstract: Systems, components, devices, and methods for generating suggestions based on extracting colors from an image are provided. A non-limiting example is a method for generating suggestions for arranging content based on matching colors in an image. The method includes the step of receiving a content file. The content file includes a content region and an image. The method also includes the step of analyzing the image to identify candidate colors in the image. Additionally, the method includes the step of generating a suggestion for the content region. The suggestion includes the image and a suggested design element. The suggested design element matches one of the identified candidate colors.

Abstract: In one embodiment, it is proposed a method for obtaining at least one high dynamic range image via aligning and fusion of at least two low dynamic range images. The method is remarkable in that it comprises: obtaining a first low dynamic range image, said first low dynamic range image comprising several color components in a color space; obtaining a second low dynamic range image in said color space, comprising, for at least one component color, at least a part of pixels of said second low dynamic range image, defining a region, for which Euclidean distance between a value of a pixel in said region in said second low dynamic range image and a value of a corresponding pixel in said region in said first low dynamic range image is below a threshold; and said aligning comprising matching features obtained from said at least one component color of said first low dynamic range image and from said at least one component color of said second low dynamic range image.

Abstract: A method for detecting defective pixels and screen imperfections is provided and include the steps of: positioning a mobile device having a display screen in a testing chamber, capturing an image of the display screen using a camera directed to a the display screen, and performing a perform a pixel detection analysis of the image.

Abstract: A method of driving a display device includes displaying both a natural image and a color vision test image on the display unit. The color vision test image is an image used to determine whether a person has a color vision impairment. A color adjustment user interface for adjusting color of the display unit is displayed on the display unit. A color adjustment instruction that instructs to adjust color of the display unit is received via an input unit. Supply image data supplied to the display unit is adjusted based on the color adjustment instruction by using a controller.

Abstract: Systems and methods are described for testing customer premise equipment in an offline fashion. According to certain embodiments, a testing system including one or more computing devices can identify a test scenario that includes information associated with one or more commands and expected results associated with the commands. Such commands can be executed by customer premise equipment. One or more respective images associated with the execution of a command can be captured, and information associated with the command, the associated expected result, and one or more respective images can be displayed for evaluation by a user to determine whether the command is operating properly in the customer premise equipment that executed the command. Certain embodiments describe a confidence level which can correspond to a number of images to be captured in order to decrease the possibility that content was not captured for evaluation.

Abstract: This disclosure relates to systems and methods for verifying that a device is using its Wi-Fi circuitry in compliance with the regulations governing the location in which the device is located. Embodiments discussed herein can verify the location using location verification tools that evaluate locally ascertainable factors that contribute to a probability determination of the device's location. Locally ascertainable factors include information that be gleaned from the surroundings of the device. The surroundings or environment in which the device resides may provide clues as to whether the device is located in a particular regulatory domain.

Abstract: A privacy-preserving multi-query parking management system and method. An image of a vehicle with respect to a specific part (e.g., license plate) can be captured when the vehicle enters via an entry point. An image signature can be computed by embedding the image into a descriptor space and the image signature can be stored in a database together with relevant metadata. An image of a vehicle with respect to the specific part can be captured when the vehicle exits via at least one exit point and an image signature can be computed. An entry-exit association with respect to the vehicle can be performed by searching for a most similar image signature in the database. Additionally, given a textual query (e.g., a license plate number), a signature can be computed by embedding the text into the same descriptor space.

Abstract: Systems and methods are provided for associating colors or color names with a color image based on hue. A set of hue values can be extracted from color data, such as a color palette, corresponding to a color image. A representative hue can be derived from the set of hue values. Colors included in the color data that are attributable to the representative hue can be identified and one or more colors can be derived therefrom as representative of a subject depicted by the color image. Color names matching the representative colors can be identified and associated with the color image. In particular, a common color name can be determined therefrom and associated with the subject of the color image.

Abstract: An image processing method and apparatus, where the method includes determining m boundary points of a target image, acquiring a color component of a non-boundary point in a jth area, where the jth area is a neighborhood of the jth boundary point in the m boundary points, 1?j?m, and m is a positive integer greater than or equal to 1, and performing synthesis processing according to the color component of the non-boundary point in the jth area, to obtain a color component of the jth boundary point, and by means of processing on a boundary point of a target image, precision of image matting and synthesis processing may be improved, and may be applied to a real-time image matting and synthesis process.

Abstract: A display device according to an exemplary embodiment of the present invention includes: a display panel including a plurality of pixels respectively displaying a first color, a second color, and a third color; and a signal controller controlling the display panel by processing an input image signal, wherein, in a color weakness mode, at least one color among the first to third colors is displayed with a higher gray than an input gray of the input image signal, and the other colors are displayed with the same gray as the input gray of the input image signal.

Abstract: Disclosed are a method for obtaining a full reflectance spectrum of a surface and an apparatus therefor. The method for obtaining a full reflectance spectrum of a surface, comprises the steps of: (a) calculating a combination value of spectral characteristics of a light source and response characteristics of a camera for an image of a reference object, the full reflectance spectrum of a surface of which is known, by utilizing the known full reflectance spectrum of a surface; (b) obtaining an image by photographing an object irradiated with light according to a predetermined lighting environment; and (c) obtaining a full reflectance spectrum of a surface for the object by utilizing the combination value of the spectral characteristics of the light source and the response characteristics of the camera for the image.

Abstract: The attribute of an object to be newly inserted into image data is determined based on an attribute of an object of a type corresponding to the object to be inserted from one or a plurality of objects already included in the image data. A display device is caused to display the image data in which the object having the determined attribute is inserted.

Abstract: An image pickup apparatus includes an image pickup element including a plurality of pixels corresponding to a plurality of respective micro lenses and the first photoelectric conversion portion and the second photoelectric conversion portion that are included in each of the pixels and share a corresponding one of the micro lenses, and a signal processing unit configured to correct an addition signal of outputs from the first photoelectric conversion portion and the second photoelectric conversion portion included in each of the pixels and a first signal generated from a plurality of signals of the first photoelectric conversion portions corresponding to the micro lenses, and the signal processing unit corrects the addition signal for each of the pixels and corrects the first signal for the first photoelectric conversion portions.

Abstract: The invention provides a method, server apparatus and terminal apparatus for providing an image, which can achieve an image search in accordance with a color, helps to make a user obtain an image of a color desired thereby, and can help a buyer to obtain a product of a color desired thereby in a comparatively accurate manner upon an application to the e-commerce field. The method comprises: a server receiving analysis data of color main components of an image to be inquired transmitted by a terminal device, then comparing the analysis data of the color main components of the image to be inquired with analysis data of color main components of a plurality of images in an image database, and transmitting identifications of the plurality of images having the greatest degree of similarity of a main color tone to the image to be inquired in the image database to the terminal device so that the terminal device acquires the images in accordance with the identifications.

Abstract: An imaging apparatus is configured to capture an object image, generate a RAW image, perform simple development on the RAW image during the image capturing operation, and store not only the developed image but also the RAW image in a storage medium. If the imaging apparatus displays an image during the image capturing operation and immediately after the image capturing operation, the imaging apparatus displays the image processed by the simple development. When the imaging apparatus completes processing of high-quality image development, the imaging apparatus replaces the image processed by the simple development with the image processed by the high-quality image development and displays the image processed by the high-quality image development.

Abstract: A system, method, and computer program product for providing a lasso selection tool for a stereoscopic image is disclosed. The method includes the steps of obtaining a lasso region of a stereoscopic image pair based on a path defined by a user using a lasso selection tool. An object in a first image of the stereoscopic image pair is identified, where the object is at least partially included within the lasso region and the object is identified in a second image of the stereoscopic image pair.

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: An image processing apparatus includes a region determiner configured to receive image data and perform a region determination by determining whether each of a plurality of sub-pixels included in the image data is included in an in-focusing region that is focused or an out-focusing region that is not focused; and an interpolator configured to perform demosaicing with respect to a sub-pixel included in the in-focusing region by using a first algorithm and perform the demosaicing with respect to a sub-pixel included in the out-focusing region by using a second algorithm, according to a result of the region determination, wherein, when the demosaicing with respect to the sub-pixel included in the in-focusing region is performed, one or more peripheral sub-pixels having phases that are different from a phase of the sub-pixel, on which the demosaicing is performed, are used.

Abstract: The present invention discloses an image processing evaluating apparatus and image processing method. The processing apparatus comprising: a confidence generation means for generating a classification confidence for each region in the image, the classification confidence represents the probability of an region belonging to a predefined class; and a classification means for classifying the regions in the image, which are obvious to be classified by their classification confidences, to respective classes based on the calculated confidences.

Abstract: Techniques related to generating downscaled image or image frame data in a luma chroma separated color space for an image or video pipeline architecture are discussed. Such techniques may include converting input image data to the luma chroma separated color space based on adaptive color coefficients determined based on an illumination indicator associated with the input image data and storing downscaled color converted image data to an input image buffer of the image or video pipeline.

Abstract: The present invention provides a method for converting a low dynamic range (LDR) image to a high dynamic range (HDR) image, including obtaining an input LDR image; and in an HDR image database, selecting one or more HDR images that match the input LDR image as candidate images. Further, the candidate images are warped according to a spatial correspondence between the candidate images and the input LDR image. The input LDR image is decomposed to an illumination component and a texture component. The illumination component and the texture component are reconstructed respectively based on the warped candidate images. The reconstructed illumination component and the reconstructed texture component are combined to produce an output HDR image.

Abstract: An image forming apparatus includes a control unit with a reduction mode using a reduced consumption of the color material. The reduction rule includes a rule of conversion configured to, in a constant hue plane of the input color value, move all color values on a straight line passing through a lowest brightness color value and the input color value in a direction from a highest saturation color value to a highest brightness color value, so as to convert into color values on a straight line passing through the lowest brightness color value and a converted input color value where the input color value is converted, the lowest brightness color value being indicative of a color value of lowest brightness, the highest saturation color value being indicative of a color value of highest saturation, the highest brightness color value being indicative of a color value of highest brightness.

Abstract: An imaging apparatus is configured to capture an object image, generate a RAW image, perform simple development on the RAW image during the image capturing operation, and store not only the developed image but also the RAW image in a storage medium. If the imaging apparatus displays an image during the image capturing operation and immediately after the image capturing operation, the imaging apparatus displays the image processed by the simple development. When the imaging apparatus completes processing of high-quality image development, the imaging apparatus replaces the image processed by the simple development with the image processed by the high-quality image development and displays the image processed by the high-quality image development.

Abstract: A device information providing system has a search request receiving unit that receives, as a search request for searching for a device, a search request including an output requirement for specifying a desired output result, a processing module DB in which information concerning a processing module that receives, as inputs, outputs from one or a plurality of other devices and combines the inputs to generate a new output is registered with respect to a plurality of the processing modules together with at least an input requirement for specifying an input of a processing module and an output requirement for specifying an output of the processing module, and a device DB in which information concerning the device is registered with respect to a plurality of the devices together with at least an output requirement for specifying an output of the device.

Abstract: A computer implemented method and apparatus for embedding a 2D image in a 3D model. The method comprises generating a 3-dimensional (3D) print matrix representing a 2-dimensional (2D) image, wherein the print matrix comprises a plurality of sub-regions, the base plane of each sub-region angled with respect to a top surface of the print matrix so as to produce a plurality of shades, each shade representing a shade of the 2D image; and embedding the print matrix in a (3D) model.

Abstract: A method for detecting differences between two digital images includes the steps of: transforming the images by resizing the images in order to get identical image sizes, by aligning pixels of the images and by normalizing colors of the images; determining plural binary masks from the pixels of the transformed images, each binary mask being composed of one element per couple of pixels of the transformed images having same coordinates; determining plural energy functions, each energy function being the sum of a first term representative of transformed images and of one binary mask and of a second term which is only dependent on said one binary mask; minimizing the energy function over other plural energy functions; and selecting the binary mask corresponding to the minimized energy function.

Abstract: A color conversion apparatus to output image data to a printer obtains roughness data to indicate the roughness of each pixel in an image expressed by the image data, derives a reduction ratio of a color gamut in each pixel according to a roughness of each pixel in the roughness data, changes color gamut data indicating for the printer on a substantially flat surface according to the derived reduction ratio to derive color gamut data in each pixel, and then performs color conversion on each pixel in the image data using the derived color gamut data.

Abstract: Methods of optimal encoding of signals to be compatible with characteristics of target receivers while meeting constraints pertinent to sizes of encoded signals or capacities of paths communicating signals to the target receivers are disclosed. The methods are based on analytical modeling of the encoding process guided by experimental data relating measured performance indicators of encoded signals of diverse classifications to respective encoding parameters. A computationally-efficient technique is devised to determine optimal encoding parameters based on pre-processed data derived from the analytical models. The methods may be implemented at an encoder of original signals or a transcoder of pre-encoded signals.

Abstract: An image processing apparatus capable of performing development by adjusting the saturation level of each color signal, without losing gradation in a high-luminance area. Saturation levels of color signals of three colors are calculated on photographed data. Color signal values in each pixel of the photographed data are acquired as pixel information. If it is determined, based on the saturation levels and the pixel information, to perform substitution, substitution for a color signal having the second highest saturation level is performed according to a color signal having the highest saturation level, and substitution for a color signal having the lowest saturation level is performed according to the color signals having the highest and second highest saturation levels. Predetermined processing is performed on photographed data on which substitution processing has been performed to thereby generate the developed data.

Abstract: Methods, systems and computer program products for automatic color correction of image and video content are provided. A computer-implemented method may include generating an auto-level linear transform and a histogram equalization transform of a color distribution histogram for an original image among a set of sequential images. The auto-level linear transform and the histogram equalization transform are blended to create a modified image. Pixel color is adjusted in the modified image so that a color difference between a pixel and neighboring pixels in the modified image corresponds to a color difference between respective pixels in the original image.

Abstract: Methods, systems, and devices are described for associating comments with playback of media content. At an input device, a parallel echo version of media content being played on a second device is provided, and a selection is received of a portion of the parallel echo version of the media content. A comment associated with the selected portion of the parallel echo version of the media content is received, and the received comment is associated with a portion of the media content associated with the selected portion of the parallel echo version. At an output device, a parallel echo version of media content being played on a second device is provided, a current point in the parallel echo version of the media content is determined, and an indicator of a comment associated with a point in the media content corresponding to the current point in the parallel echo version is displayed.

Abstract: A guide is configured in an authoring program to aid the user in editing objects on a document. The guide can be a horizontally or vertically oriented guide line and can be created from a single ruler, either a vertical or horizontal ruler displayed on the workspace. To create a horizontal guide, the user can position the cursor on a horizontal ruler. The user can click-and-hold and drag the cursor to create and position a horizontal guide over the workspace. To create a vertical guide, the user can position the cursor in the horizontal ruler and click and release. The user can create both vertical and horizontal guides using the vertical ruler in a corresponding manner, where clicking on the vertical ruler creates a horizontal guide, and click-and-hold and dragging creates a vertical guide. Guides can be individually configured or altered in their visual characteristics.

Abstract: The present invention provides, in at least one aspect, methods and systems that detect at least one face in at least one digital image, determine and store area co-ordinates of a location of the at least one detected face in the at least one digital image, apply at least one transformation to the at least one detected face to create at least one portrait of the at least one detected face, rotate the at least one portrait at least until the at least one portrait is shown in a vertical orientation and a pair of eyes of the at least one face shown in the at least one portrait are positioned on a horizontal plane; and store the rotated at least one portrait.

Abstract: A data processing system for performing face detection on a stream of frames of image data, the data processing system comprising: a skin patch identifier configured to identify one or more patches of skin color in a first frame and characterize each patch in the first frame using a respective patch construct of a predefined shape; a first search tile generator configured to generate one or more first search tiles from the one or more patch constructs; and a face detector configured to detect faces in the stream by performing face detection in one or more frames of the stream within the first search tiles.

Abstract: Techniques to generate global tone-mapping operators (G-TMOs) that, when applied to high dynamic range images, visually approximate the use of spatially varying tone-mapping operators (SV-TMOs) are described. The disclosed G-TMOs provide substantially the same visual benefits as SV-TMOs but do not suffer from spatial artifacts such as halos and are, in addition, computationally efficient compared to SV-TMOs. In general, G-TMOs may be identified based on application of a SV-TMO to a down-sampled version of a full-resolution input image (e.g., a thumbnail). An optimized mapping between the SV-TMO's input and output constitutes the G-TMO. It has been unexpectedly discovered that when optimized (e.g., to minimize the error between the SV-TMO's input and output), G-TMOs so generated provide an excellent visual approximation to the SV-TMO (as applied to the full-resolution image).

Abstract: An image processing apparatus includes an image information acquisition unit, an elimination color setting unit, and a processing unit. The image information acquisition unit acquires image information of a document image in which multiple colors that are different from a predetermined document color are added to an image which is rendered in the predetermined document color. The elimination color setting unit sets a color which is defined as an elimination color from among the multiple colors. The processing unit performs predetermined processing for a color among the multiple colors that is different from the elimination color set by the elimination color setting unit.