Abstract: Embodiments of the present disclosure relate to highlight recovery of a high-resolution image using a single low-resolution image captured at a lower exposure. An example apparatus includes a hue target circuit that receives an input image at a high-resolution including at least one pixel with a clipped color channel. For example, the input image is a Blue sky image with a pixel having clipped Blue channel. The hue target circuit also receives a set of candidate hue maps having a pixel resolution lower than the high-resolution of the input image. The hue target circuit generates a target hue value for the at least one pixel using the pixel information of the set of candidate hue maps. The apparatus also includes a hue recovery circuit that generates a recovered version of the input image by adjusting hue information of the clipped color channel based on the generated target hue.

Abstract: A method of reducing moire includes generating a moire corrected image by performing moire correction on an input image; setting a moire correction weight for each pixel of the input image based on global luminance of the input image and local luminance of an area including the pixel; and correcting the moire corrected image by synthesizing the input image and the moire corrected image based on the moire correction weight.

Abstract: Provided is an image processing apparatus including a decoding section that decodes a luminance component and a color difference component of a block inside a coding unit in an order of the luminance component and the color difference component in each block.

Abstract: A system for high dynamic range (HDR) imaging and methods for making and using same is disclosed. An HDR module in a camera initializes a set of lookup tables (LUTs) in YUV color space based on exposure configurations of a set of images taken as HDR imaging. The HDR module calculates weights of luminance Y components of the set of images in YUV color space. Based on the calculated weights, the HDR module blends the Y component of the set of images to generate blended Y components. The HDR module combines the blended Y components with corresponding UV components to generate a single image in YUV space. Thereby, the HDR module advantageously combines a set of images into a blended HDR image with only blending the Y component of the set of images.

Abstract: An image processing apparatus includes: a controller performs: acquiring first original image data generated by optically reading a first document; acquiring first corrected image data generated by executing first correction processing; calculating a feature amount indicative of a difference between the first original image data and the first corrected image data; determining a correction parameter indicative of the specific color by using the calculated feature amount; acquiring second original image data generated by optically reading a second document different from the first document, and generating second corrected image data by executing second correction processing for the second original image data, wherein the second correction processing is processing of changing the pixel value indicative of the specific color specified by using the determined correction parameter into the pixel value indicative of the color different from the specific color.

Abstract: Techniques for non-subsampled video encoding of R?G?B? data using Y?, Cb and Cr data to generate compressed data wherein the Y?-plane comprises three separate color frames that are not interleaved, and recovering the data therefrom.

Abstract: Various aspects of a system and method for image-processing are disclosed herein. The method, implemented in an image-processing device, comprises computation of an average bin value of a histogram for a first color channel of an image. The histogram includes a plurality of bins with a pre-determined bin size, based on pixel values of the first color channel. An adaptive threshold step size is determined for each bin in the histogram, based on a ratio of a bin value of each bin of the plurality of bins and the computed average bin value of the histogram. The method further includes computation of a set of Boolean maps that correspond to a set of threshold values, based on the adaptive threshold step size for each bin. A saliency map is generated based on the computed set of Boolean maps.

Abstract: An image processing apparatus generates image data used in printing an image on a sheet being attachable to skin. The image processing apparatus includes: an image acquirer that acquires a skin image picked up from the skin; an image analyzer that extracts, from the skin image, a discolored region differing in color from surrounding skin by at least a predetermined level, and surrounding color being color of the skin surrounding the discolored region; a grouping processor that groups a plurality of the discolored regions, and determines an inclusive region for each region group which is a cluster of the grouped plurality of discolored regions or one discolored region not having been grouped, to include the one or a plurality of the region groups; and a printing controller that generates image data having a content of printing a pigment material that causes color of the inclusive region to approximate the surrounding color, on a region corresponding to the inclusive region in the sheet.

Abstract: The disclosure relates to an interconnecting device and system of IOT (Internet of Things). The interconnecting device is configured to interconnect different IOT platforms or interconnect a IOT platform with a robot. The interconnecting device comprises a hardware and a software comprising a control module, a communication module and a conversion module. The conversion module is configured to convert the message between different IOT platforms or between the IOT platform and the robot. The system of IOT comprises at least one IOT platform and the interconnecting device. The interconnecting device can interconnect different IOT platforms or interconnect a IOT platform with a robot conveniently.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: An image capturing apparatus includes: an image capturing unit for capturing an object image; an expander for expanding the dynamic range of the image capturing unit by reducing the exposure of the image capturing unit; a tone correction unit for performing tone correction on image data; a display unit for displaying a display image obtained by the tone correction unit; a detection unit for detecting signal values of a region within a screen of the image capturing unit after the expander expands the dynamic range; and a control unit for, in the case where the dynamic range is expanded, changing a characteristic of tone correction so as to suppress change in the display image caused by the change in the dynamic range.

Abstract: A digital camera accesses, processes and displays a combination image composed of visible light and near non-visible (“NNV”) light. A method can include accessing, by a digital camera, raw data having first information associated with a first electromagnetic spectrum range and second information associated with a second electromagnetic spectrum range. The first electromagnetic spectrum range is substantially within the visible spectrum and the second electromagnetic spectrum range is substantially within the NNV spectrum. The method can also include optimizing the raw data for the visible spectrum, thereby generating a first visual image representation, and optimizing the raw data for the NNV spectrum, thereby generating a second visual image representation. The method can also include combining the first visual image representation and the second visual image representation to generate a combination image. The digital camera can then initiate the display of the combination image.

Abstract: A method, an apparatus and a system for testing optical characteristics of a display module are provided. The apparatus includes an input unit, configured to input a lighting command to a module lighting machine, and input a testing command to a color analyzer; a reading unit, configured to read the parameter values from the color analyzer after the input unit inputs the testing command to the color analyzer; a determining unit, configured to determine whether the optical characteristics of the display module conform to a preset standard according to the parameter values, which are detected by the color analyzer, read by the reading unit after testing for a preset number of times.

Abstract: A cognitive system and method for visual classification of similar planar objects is disclosed. The method uses a query image and a list of candidate templates as the input, and produces the most probable candidate for the query image. The system uses the mutual saliency among a sample of points in the query templates, and selects those points with the highest saliency. The corresponding candidate templates to the points with the highest saliency are then compared to the query image, and those with the highest similarity are kept. The system has applications to industrial and commercial settings where processes require object recognition from image data.

Abstract: An apparatus displaying content to a viewer by adjusting parameters of the content or display devices based on environmental or display device changes. The apparatus includes a display device with a screen providing digital content. A thematic overlay is provided over the display screen to provide diffuse reflection of light striking the front surface. The output light is a combination of the displayed content from the screen and reflection of light from the thematic overlay. The apparatus includes a digital signage benchmarking tool with an output sensing element a benchmarking module processing the sensed output light to generate output light-based data. The apparatus includes a feedback control module modifying a parameter of the display device based on the output light-based data to modify chromaticity or illumination levels of the display device. The feedback control module operates to modify the digital content to provide the displayed content having an adjusted chromaticity.

Abstract: A controller provided in a control device calculates an index value indicative of an amount of a specific type of ink in a specific type of color to be used in printing at least a part of a target image including a first image and a second image. In response to determining that the index value is not greater than a threshold value, the controller controls a printer to print the first image and the second image using the specific type of ink for reproducing the specific type of color. In response to determining that the index value is greater than the threshold value, the controller controls the printer to print the first image using the specific type of ink and to print the second image using a different type of ink different from the specific type of ink for reproducing the specific type of color.

Abstract: An image processing method, an image processing circuit, and a display apparatus using the same are discussed. The image processing method can include sensing a viewing distance of a user and determining a predetermined viewing distance mode, upon determining that the viewing distance corresponds to a short distance mode, performing blurring processing on four-color data of each pixel of an input image for each color channel by applying a predetermined blurring mask to reduce data of an edge portion of the input image and to output the image, and upon determining that the viewing distance corresponds to a long distance mode, performing sharpening processing on white data of four-color data of each pixel of the input image by applying a predetermined sharpness mask to increase the white data of the edge portion of the input image and to output the image.

Abstract: A set of similar messages addressed to a user is detected. Redundantly similar portions of the set of similar messages and a progressive set of differences between the set of similar messages are identified. The set of similar messages are consolidated into a single consolidated message. The single consolidated message includes one version of the redundantly similar portions in association with the progressive set of differences in a sequence and the progressive set of differences formatted differently from the redundant similar portions.

Abstract: An image processing device includes: an image processing unit that alters an image by executing first image processing and second image processing on the image; and a processing change unit that changes an extent to which the image is altered through the first image processing and an extent to which the image is altered through the second image processing. The processing change unit raises the extent to which the image is altered through the second image processing when the extent to which the image is altered through the first image processing is lowered.

Abstract: According to one embodiment, an ultrasonic diagnosis apparatus includes a display unit to display an ultrasonic image, a comparison unit to compare the signal/echo intensity of a cardiac chamber portion of an ultrasonic image with the signal/echo intensity of a myocardial portion of the image, and an indication generating unit to generate a specific indication at a time point when the signal/echo intensity of the cardiac chamber portion changes from a higher value to a lower value than the signal/echo intensity of the myocardial portion or at another time point with reference to the time point.

Abstract: An image forming apparatus includes: an image forming section; an image reading sensor and a colorimeter; a temperature sensor; a memory that stores a first color value and a second color value in a first color chart that has a larger number of patches than a second color chart; a processor that creates a scanner profile for converting a first color value into a second color value using color values obtained by the image reading sensor and the colorimeter, corrects the scanner profile according to the color values obtained by the image reading sensor and the colorimeter, and converts the first color value into the second color value using the corrected scanner profile.

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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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.