Abstract: A system and method for image contrast enhancement using sub-segments. A coarse piecewise linear transform is formed based on the intensity distribution in an image, the segments of the piecewise linear transform selected to produce, when the piecewise linear transform is applied to the image, an improved intensity distribution, e.g., one approximating a Rayleigh distribution. A fine piecewise linear transform is formed by forming sub-segments at each of the breakpoints of the coarse piecewise linear transform.

Abstract: Systems and methods are disclosed to authenticate and authorize a user for web services using user devices. In various embodiments, a method may comprise: identifying, by a user device security manager executing at a user device corresponding to a user of a web service, a first request issued from an application to access remote resources associated with the web service, the application executing at the user device and separate from the user device security manager; acquiring, by the user device security manager, security information of the application in response to the identifying of the first request, the security information including at least one of an application identification, an access scope or a nonce of the application; and transmitting a second request from the user device security manager to the web service to authenticate the application by the web service based, at least in part, on the application identification.

Abstract: Because the spectral characteristics of an original of a printing sheet and those of an original of a photographic image are different, in the case where the same color conversion table is applied at the time of color conversion processing, a deviation occurs in color reproducibility. By determining the sheet type with accuracy based on the feature of fiber that occurs in manufacture of paper and by applying color conversion processing in accordance with the determination result, a highly accurate color reproduction method of an image is implemented.

Abstract: A system and method for optimizing toner usage on an output device capable of rendering in five or more colorants includes receiving a print job for rendering a print job. The method includes generating at least one candidate colorant combination using multiple colorants. The method includes determining at least one factor including (i) a toner usage, (ii) a toner cost, and (iii) an accuracy of the at least one candidate colorant combination for rendering a select object of the print job. The method further includes selecting an ideal candidate colorant combination based on a comparison of the at least one factor with one of a second candidate colorant combination and an original CMYK colorant combination.

Abstract: Implementations generally relate to providing image parameters in a social network system. In some implementations, a method includes receiving a plurality of reference images associated with a target user in a social network system. The method also includes determining one or more image parameter values based on social activity of the target user. The method also includes modifying one or more target images based on the one or more determined image parameter values.

Abstract: Provided are an apparatus and method for enhancing an image using a color channel. A pre-processing unit generates an inverted image by inverting a luminance component estimated from a red (R) channel among color channels of a red, green, and blue (RGB) color space of an input image. A channel merging unit generates a merged luminance (L) channel by merging an L channel of an International Commission on Illumination (CIE) L*a*b* (CIELab) color space of the input image and the inverted image. A contrast enhancement unit enhances contrast by expanding a histogram of the merged L channel. A color restoration unit combines the merged L channel whose contrast has been enhanced and chromaticity components of the input image, and converts a resultant color image to the RGB color space, thereby generating a restored image.

Abstract: A system and method according to which device link profiles (DLPs) for color printing are tuned or otherwise adjusted.

Abstract: One or more versions of video or other image content may be generated by obtaining first histogram data for a first version of the video content; obtaining a second version of the video content; obtaining second histogram data for the second version of the video content; generating a mapping from the second version of the video content to an additional version of the video content by performing a number of iterations of a progressive histogram matching algorithm, the number of iterations being fewer than a maximum number of iterations of the progressive histogram matching algorithm; and applying the mapping to generate the additional version of the video content from the second version of the video content.

Abstract: An automated, computerized method is provided for processing an image. The method includes the steps of arranging a digital camera on a vehicle body, operating the digital camera to provide an image file depicting an image of a scene related to vehicle operation on a road, in a computer memory, receiving from the memory the image file depicting pixels of an image of the scene related to vehicle operation on a road, and using an analysis of the pixels to generate an illumination invariant image of the scene. A further process step includes using the illumination invariant image to analyze the road scene for painted road markings.

Abstract: A method for capturing important objects with a camera may include the following steps: non-selectively capturing an incoming sequence of images using an image capturing device; analyzing said incoming sequence of images, to yield metrics associated with objects contained within the images, wherein at least one of the metrics is calculated based on two or more images; automatically deciding, in real time, on selectively capturing a new image wherein the selective capturing is carried out differently than the non-selective capturing, whenever the metrics of the objects meet specified criteria; and determining at least one object as an important object, wherein said determining associates the selected object with a level of importance and wherein said metrics are calculated only for the at least one important object.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for displaying images using a frame-specific contributing color (FSCC). In one aspect, an input is configured to receive image data corresponding to a current image frame. Contributing color selection logic is configured, based on received image data, to obtain a FSCC for use in conjunction with a set of frame-independent contributing colors (FICCs) to generate the current image frame on a display. In addition, subframe generation logic is configured to process the received image data for the current image frame to generate at least two subframes for each of the FICCs and the obtained FSCC such that an output by the display of the generated subframes results in the display of the current image frame.

Abstract: A method and an apparatus for calibrating a multi-spectral sampling system are provided. The method includes: sampling scene information of a scene to obtain a two-path multi-spectral image comprising a multi-spectral image consisting of a plurality of sampling points and a RGB color image; calibrating a spectrum of each of the plurality of sampling points to obtain a spatial location thereof and a spectral wavelength corresponding to the spatial location; providing two scanning videos in different scanning directions, demonstrating and shooting the two scanning videos to obtain two two-path multi-spectral videos, in which each two-path multi-spectral video comprises a multi-spectral video and a RGB color video; and based on the spatial location of each of the plurality of sampling points, obtaining a matching point of each of the plurality of sampling points, so as to implement a spatial location calibration of the multi-spectral sampling system.

Abstract: A image processing apparatus includes a selection unit configured to select either first color tone conversion processing or second color tone conversion processing having a ratio of red wavelength component set lower than either blue wavelength or green wavelength components with respect to the first color tone conversion processing, and a color tone conversion unit configured to convert a color of a fundus image by the selected color tone conversion processing.

Abstract: An input rescale module for an image signal processor (ISP) that downscales sensor data in the horizontal and vertical dimensions. The module may demosaic the sensor data to generate RGB data. Horizontal filtering may be applied to horizontally downsize the RGB data. The RGB data is converted to YCC, chroma 4:4:4. The chroma 4:4:4 is then horizontally filtered to generate chroma 4:2:2. Dropping chrominance data by going to 4:2:2 may reduce hardware area cost and power usage in the vertical scaler. Vertical filtering may be applied separately to luma and chroma to vertically downsize the YCC data. Chroma may be filtered with stronger filters than luma. The chroma 4:2:2 data may then be horizontally interpolated to generate chroma 4:4:4 data. The YCC data is converted back to RGB, and the RGB data is remosaiced to generate downsampled sensor format data.

Abstract: An image processing apparatus is provided which offers higher versatility than conventional image processing apparatuses. When an input signal to a spatial filtering block is a monochrome signal that contains Y component only, a selector selects its input terminal and a selector selects its input terminal. Then, a low-pass filter output signal of a programmable spatial filter is inputted to a spatial filter, and a low-pass filter output signal of the spatial filer is inputted to a spatial filter. That is, the programmable spatial filter and the spatial filters are connected in series (in cascade), and the cascade-connected three spatial filters perform filtering operation. In this example, low-pass filters with 5H5 taps are connected in cascade in three stages, which enables low-pass filtering with 13H13 taps.

Abstract: A system and method according to which the color performance of a digital color print job is monitored or otherwise managed during the production run of the digital color print job.

Abstract: A TV has a makeup mode in which a camera on the TV images a viewer of the TV and presents the viewer's image on the TV. To illuminate the viewer, the TV also juxtaposes with the viewer's image an all-white background image having a known color temperature and brightness.

Abstract: Some of the embodiments of the present disclosure provide a method comprising receiving an input image; based on the input image, generating a first output image, such that a contrast of the first output image is the same as a contrast of the input image; generating a first line in an x-y plane, wherein the first line represents a transfer function between (i) pixel values of pixels of the input image and (ii) pixel values of pixels of the first output image; receiving an input to modify the contrast of the input image; and based on receiving the input to modify the contrast of the input image, (i) rotating the first line to generate a second line in the x-y plane, and (ii) based on the second line, generating a second output image having a contrast that is different from the contrast of the input image.

Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.

Abstract: The subject disclosure is directed towards mixing RGB data with infrared data so as to provide depth-related data in regions where infrared data are sparse. Infrared data, such as corresponding to point cloud data, are processed to determine sparse regions therein. For any such sparse regions, RGB data corresponding to a counterpart region in the RGB data are added to a data structure. The data structure, which may include or be concatenated to the IR data, may be used for depth-related data, e.g., with a point cloud.

Abstract: A method for generating codes for a code mask is provided. A plurality of symbols may be arranged into an n1 by n2 symbol structure, where n1 and n2 are integer values. A plurality of codewords may be defined from different overlapping k1 by k2 windows within the symbol structure, wherein co-linear and spatially overlapping windows define unique codewords, and the codewords are unique in a first direction of the symbol structure but are repeated in a second direction that is perpendicular to the first direction. A plurality of the symbol structures as a code mask, wherein symbols in two adjacent k1 by k2 windows are selected so as to avoid codeword aliasing of codewords in the two adjacent k1 by k2 windows.

Abstract: An adaptive image processing apparatus includes a first matching unit selecting representative candidate images from among a plurality of images included in an image pyramid and calculating a first matching score between each of the representative candidate images and a target model; a second matching unit selecting one scale level from among scale levels of the representative candidate images based on the first matching score and calculating a second matching score between each of images having scale levels included in a dense scale level range with respect to the selected scale level and the target model; a representative scale level selecting unit selecting at least one of the scale levels included in the dense scale level range as a representative scale level based on the second matching scores; and an image processing unit performing image processing based on an image having the selected representative scale level.

Abstract: Methods for transmitting additional information together with image data involve replacing pixel values to take in-gamut points to out-of-gamut points. The additional information may constitute metadata describing the image data and/or useful for controlling display and/or processing of the image data; watermark information; or other information. In some embodiments the image data is restored to its original form after extraction of the additional information.

Abstract: A video-enabled baby monitoring system including at least two separate units, and typically at least three separate units. The first unit is a transmitter with a camera feature which captures motion and includes microprocessors which generate a series of video signal codes which are transmitted at specific radio frequencies to a dedicated receiver unit. The transmitter unit also includes an infrared light source and a sound capture source, where the sound capture source generates sound signal codes. The second unit is a receiver unit with a display screen, a video-off button and frequently a total power off button. A third unit which provides for enhanced, convenient data transfer from the transmitter unit may be selected from a number of adaptor docking stations; or a smart phone platform; or a docking cradle with Wi Fi capability.

Abstract: An image processing apparatus acquires monochrome image data and, for a pattern of each parameter, converts the acquired monochrome image data into intermediate image data. The intermediate image data is expressed in a set of signal values of a plurality of color elements.

Abstract: Novel methods and systems for color space conversions are disclosed, relating to the optimization of a transformation matrix to convert between wide gamut opponent color spaces. The optimization may be based on whether the color values are in or out of gamut.

Abstract: A color converting apparatus is used for designated-color printing. The apparatus is provided with a color space converting unit for converting a designated-color designated by a printing command to a converted-color in a color space represented by brightness, saturation and hue of color, and a color classifying unit for classifying the converted-color to one of plural classified-colors on the basis of the brightness, saturation and hue of said converted-color. Color correlating-relationship information is prepared, which sets correlating relationship between the plural classified-colors and one or more printing colors. The apparatus is further provided with a classified-color/printing-color correlating unit for selecting one printing color correlated with the one classified-color from among one or more printing colors, based on the color correlating-relationship information and for correlating the selected printing color with the printing command.

Abstract: An image capture apparatus generates a developed image by generating a signal intensity of an inexistent color component for an image signal of each pixel read from an image sensor having a Bayer pattern. The image capture apparatus corrects a color dispersion caused by the image sensor for the developed image and outputs the corrected developed image. And the image capture apparatus generates a Bayer image having the Bayer pattern from the corrected developed image.

Abstract: Provided are a method and apparatus for canceling chromatic aberration. In the method, only chrominance signals are filtered using an asymmetrical mask according to the characteristics of chromatic aberration occurring from among a luminance/chrominance coordinates system. Accordingly, it is possible to cancel chromatic aberration regardless of the characteristics of a lens and prevent the resolution of the original image from degrading.

Abstract: An image processing apparatus enlarges the number of pixels of first image data made of a luminance signal and a color-difference signal in a vertical direction and in a horizontal direction, and causes each pixel to have a luminance signal and a color-difference signal to convert the image data made of the luminance signal and the color-difference signal into image data of a Bayer array made of R, G1, G2, and B signals. The image processing apparatus generates a luminance signal using one of the G1 signal and the G2 signal, the R signal, and the B signal in the image data of the Bayer array.

Abstract: An image apparatus and an image processing method are provided. The image apparatus determines a type of original format of inputted image data and determines a degree of noise reduction in accordance with the determined type of original format. As a result, an optimized noise reduction can be carried out.

Abstract: Disclosed herein is a camera system including, a camera apparatus having, an image sensor, a correction section, a first transmission processing section, and a synchronization processing section, and a video processing apparatus having a second transmission processing section and a conversion section, wherein the video processing apparatus outputs the video data obtained by the conversion by the conversion section.

Abstract: The present disclosure relates to a computer-implemented method, device, and computer-readable storage medium used to determine the prorating of trap color radius with respect to an object (text or graphics) size. The prorating of trap color radius allows for the problem of overpowering the trapping filter over the object size.

Abstract: An image processing apparatus, which correctly extracts specular reflected light components of reflected light from an object, and accurately estimates a light source color, is provided. The image processing apparatus calculates a pixel value difference distribution by repeating, for respective pixels, to calculate pixel value differences between a pixel of interest and adjacent pixels in an input image and to calculate similarities between pixel value differences. A light source estimation unit estimates a color of a light source which illuminates an object in the input image based on the calculated distribution.

Abstract: The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may detect and correct a defective pixel of image data acquired using an image sensor. The image processing pipeline may receive an input pixel of the image data acquired using the image sensor. The image processing pipeline may then identify a set of neighboring pixels having the same color component as the input pixel and remove two neighboring pixels from the set of neighboring pixels thereby generating a modified set of neighboring pixels. Here, the two neighboring pixels correspond to a maximum pixel value and a minimum pixel value of the set of neighboring pixels.

Abstract: According to some embodiments, system and methods for image improvement comprise: receiving a plurality of frames of a given region of interest, the frames comprised of a plurality of pixels; determining, based on a quantum property of the frames, a normalized pixel intensity value for each pixel of each of the plurality of frames; and generating an improved image of the given region of interest based on the plurality of frames and the corresponding normalized pixel intensity values for the frames, the order of the image being two. Also embodiments for generating an image of a target illuminated by quantum entangled particles, such as, photons, are disclosed.

Abstract: An imaging device of the present invention comprises an image sensor provided with phase detection pixels for focus detection at some of its pixels, a contrast information detection section for detecting contrast information of a formed image from pixels, among pixel data output from the image sensor, positioned close to the phase detection pixels, a phase detection pixel correction determination section for determining whether or not to correct data of the phase detection pixel based on the detected contrast information, a weighting determination section for determining a weighting for neighboring pixels to the phase detection pixels based on the detected contrast information, a pixel correction section for carrying out weighted correction of the phase detection pixels based on the determined weighting, and a color conversion processing section for carrying out conversion processing for display of the image data or to create an image for storage, after the pixel correction.

Abstract: Described herein is a method of calibrating displays (or printers) using Natural Language-based commands. The exemplary method provides an easy-to-use solution to the common methods of color calibrating a display. Instead of using sliders or manual controls for the individual dimensions of a three-dimensional color problem, the user is able to make adjustments via natural language commands, such as “make reference patch less purple.” The method does not require the user to understand color mixing technology when making separate R, G, and B adjustments to match a specified patch. A user can easily express the necessary color adjustment in natural language terms, making the process simpler and faster.

Abstract: A method for applying histogram equalization to an image comprises calculating a histogram of at least one image portion of an input image to obtain histogram data representing the number of occurrences of different brightness values in said at least one image portion. Said histogram data is filled up such that substantially all brightness values have a minimum number of occurrences. A cumulative distribution function is calculated from said filled up histogram data and is equalized in a predetermined range. Finally, said at least one image portion of the input image is remapped based on said equalized cumulative distribution function.

Abstract: One or more techniques and/or systems are disclosed for improving face detection in an image. A user may select a first eye location while viewing the image (e.g., per red-eye reduction) and a first indication of user input, comprising the location selected by the user, can be received. The first eye location in the image can then be used to determine a face location in the image (and a second user indicated eye location can be used as well). The location of the face can be identified in the image, and the image with the identified face location can be provided to a face detection and/or recognition operation, for example.

Abstract: A method for optimizing an amount of colors used in content data is described. At least one content object is received and it is analyzed if any of the received content objects is a predetermined type. At least one color used within the at least one content object of the predetermined type is determined and the received content objects are rendered to a raster canvas so that the at least one color is protected. Information on the at least one color is stored and at least one characteristic of the rendered content is compared to at least one predetermined criteria. In case of mismatch the amount of colors used in the content of the raster canvas is optimized so that the at least one color used in at least one rendered content object of the predetermined type is protected. Finally, the content is compressed and output.

Abstract: A white balance adjustment method includes capturing a raw image by an image capturing device where an arrangement format of the raw image is BGb/GrR, color scale values of each color channel are extracted, the color scale values of all pixels in B, Gb, Gr, and R channels are separately scanned, and predetermined number ranges are used to classify the color scale values, then obtaining a cumulative proportion of color scale values in each channel is obtained. The cumulative proportions of each channel are compared with default minimum and maximum values, to obtain a more-than-maximum as a reference white, and a less-than-minimum as a reference black. The color scale values are re-quantized, according to the reference white and black, and a color histogram stretching method is applied to complete the white balance adjustment.

Abstract: Skin diagnostic techniques employed in conjunction with image processing techniques. For example, a method includes performing one or more diagnostic operations on at least one portion of a user skin image to generate user skin image data, wherein the diagnostic operations are associated with an identified skin-related application. The user skin image data is processed in accordance with the identified skin-related application. The processing includes identifying one or more sets of skin image data in a database that correspond to the user skin image data based on parameters specified by the skin-related application, and determining at least one image processing filter based on the sets of identified skin image data. The image processing filter is applied to the user skin image to generate a simulated user skin image.

Abstract: Systems and methods for local tone mapping are provided. In one example, an electronic device includes an electronic display, an imaging device, and an image signal processor. The electronic display may display images of a first bit depth, and the imaging device may include an image sensor that obtains image data of a higher bit depth than the first bit depth. The image signal processor may process the image data, and may include local tone mapping logic that may apply a spatially varying local tone curve to a pixel of the image data to preserve local contrast when displayed on the display. The local tone mapping logic may smooth the local tone curve applied to the intensity difference between the pixel and another nearby pixel exceeds a threshold.

Abstract: A method for creating a run-time color-conversion look-up table is provided. A conceptual representation of a slice of a color conversion object is presented. The color conversion object is defined by a color coordinate system having a neutral axis and a plurality of color axes. The slice is defined by a plurality of grid points on the color coordinate system that are in a common plane orthogonal to the neutral axis. In addition, the slice is bound along a plurality of faces of the color conversion object for which at least one of the plurality of color axes is at a minimum or maximum value. The method further includes applying design rules for certain grid points and determining outputs for other grid points. The outputs for the slice are stored in a portion of the look-up table. A tool for creating a 3D look-up table is also described.

Abstract: A high luminance display apparatus is provided. When a spectral radiance of a backlight at a time point of factory shipment is less than a spectral radiance of external light, a CPU generates a correction matrix for performing color correction so that color produced by external light, i.e., color produced by reflection light of external light by a half mirror conforms to color produced by only irradiation light of the backlight, transmits the generated correction matrix to a video image signal processing section as parameter information, and causes execution of color correction based on the parameter information. The CPU generates a correction matrix based on a spectral radiance of external light detected by a second spectral radiance sensor, a spectral radiance of the backlight detected at the time point of factory shipment, and spectral transmittance of a color filter as well as a color-matching function.

Abstract: Acquired monochrome image data is converted into color image data using a first lookup table in which gray line gradations are mapped to coordinate values in a color space. Image processing corresponding to printing is executed for the converted color image data, and the color image data that is subjected to the image processing is converted into color material data using a second lookup table in which the coordinate values in the color space are mapped to coordinate values in a color material color space.

Abstract: A digital camera which performs digital processing on an image obtained by image capturing has a three-dimensional lattice point data table for image data conversion processing. The digital camera holds a matrix coefficient set for performing the conversion processing by matrix operation. In the respective lattice points of the three-dimensional lattice point data table, values corresponding to the conversion processing with the matrix coefficient set are set. Then a raw image file, including compressed image data obtained by lossy compression on the image data converted by the conversion processing and the held matrix coefficient set, as attendant information, is generated.

Abstract: An image processing device having a brightness adjustment unit having a unit processing the brightness of each pixel and a frame buffer unfolding each brightness before and after processing, and a color adjustment unit having a unit processing the color of each pixel and a frame buffer unfolding each pixel color before and after processing. The ratio (f) of the brightness of each pixel before and after adjusting is input. When the ratio (f) is equal or larger than a color emphasis parameter (ColorRate), calculates anti-numerical value that subtract the ColorRate from the ratio (f), adds the ColorRate to this anti-numerical value, and multiplies a coordinate value of the color space by the added value. When the ratio (f) is smaller than the ColorRate, multiplies the ColorRate by the coordinate value of the color space, and outputs the color of each pixel to the frame buffer.

Abstract: A system and method is provided that determines whether objects in one image are visually similar to objects in another image by replacing the images' backgrounds with other images, such as a solid color or an image with texture, and comparing the resulting histograms.