Abstract: Various embodiments relate to an apparatus for controlling a lighting device. A light control circuit can use a controlled lighting sequence control and drive viewed sections of a lighting device to display chroma key color or emit infrared light, while driving other unviewed portions of the lighting device to display ambient and incident lighting. The viewed and unviewed lighting sections can be based on the field of vision of an image capture device and can change in relation to movements of the image capture device. A sensor can make measurements to determine to field of vision of the image capture device and can be used to generate or modify the controlled lighting sequence. An image processing circuit can generate a composite image using the chroma key while maintaining the subjects that are captured using ambient and incident lighting.

Abstract: Novel systems and methods are described for creating, compressing, and distributing video or image content graded for a plurality of displays with different dynamic ranges. In implementations, the created content is “continuous dynamic range” (CDR) content—a novel representation of pixel-luminance as a function of display dynamic range. The creation of the CDR content includes grading a source content for a minimum dynamic range and a maximum dynamic range, and defining a luminance of each pixel of an image or video frame of the source content as a continuous function between the minimum and the maximum dynamic ranges. In additional implementations, a novel graphical user interface for creating and editing the CDR content is described.

Abstract: A device may determine, based on data in a bitstream, a luma sample (Y) of a pixel, a Cb sample of the pixel, and the Cr sample of the pixel. Furthermore, the device may obtain, from the bitstream, a first scaling factor and a second scaling factor. Additionally, the device may determine, based on the first scaling factor, the Cb sample for the pixel, and Y, a converted B sample (B?) for the pixel. The device may determine, based on the second scaling factor, the Cr sample for the pixel, and Y, a converted R sample (R?) for the pixel. The device may apply an electro-optical transfer function (EOTF) to convert Y?, R?, and B? to a luminance sample for the pixel, a R sample for the pixel, and a B sample for the pixel, respectively.

Abstract: Said method comprises a first cusp-oriented lightness-mapping step and a second lightness-mapping step in which a source color (N) is mapped into a mapped color (N?) having the same hue (H?=H) and the same chroma (C?=C) as the source color, where the second mapping step is defined such as to bring more colors in a target color gamut and more colors closer to the boundary of this target gamut.

Abstract: A method for modifying digital media comprises receiving one or more digital media items, determining a plurality of colors and one or more associations between the colors in the one or more digital media items; collecting a color vision profile from one or more color blind individuals in an environment; analyzing the color vision profiles to determine common colors visible by the one or more color-blind individuals; identifying a color scheme for modifying the one or more digital media items to correspond to the common colors visible by the one or more color-blind individuals; and modifying the one or more digital media items using the color scheme.

Abstract: In a method and apparatus for segmentation of an examination region to be imaged, scan projection data are acquired from the examination region to be mapped. Iterative reconstruction takes place on the basis of the acquired scan projection data. Preliminary image data and preliminary textural features are reconstructed. Anticipated preliminary structures, preferably preliminary contours, are determined in the examination region on the basis of the obtained preliminary textural features. The anticipated preliminary structures are then taken into account during iterative reconstruction of preliminary image data and preliminary textural features. An image segmentation method is described, moreover. An image reconstruction device is also described.

Abstract: Methods of image calibration and in particular of image calibration having a multiple of color scales as well as to quantitative imaging such as quantitative medical imaging, or to a display device or to a system for displaying an image, or to a controller of a display, or to software to enable the image calibration, or to a visualization application and a display. The method for processing an image, includes the steps of: —selecting at least one trajectory in a color space; —defining a transformation which primarily increases perceptual linearity of consecutive points belonging to the at least one trajectory; —applying the transformation to the image. This has the advantage that the perceptual linearity can be restricted to the trajectory.

Abstract: Data pertaining to at least one user-specific color value can be accessed for output of at least one of red light, green light, and blue light, and images can be presented on a display based at least in part on the at least one user-specific color value.

Abstract: Provided is an image sensor. The image sensor includes a pixel array including a plurality of pixel blocks. Each of the plurality of pixel blocks includes a plurality of pixels arranged in a matrix form. Each of the plurality of pixels includes a plurality of phase difference sensing pixels. Each of the plurality of phase difference sensing pixels may be periodically repeatedly arranged in the pixel array in a horizontal direction and a vertical direction.

Abstract: A processor for signal reshaping receives an input image with an input bit depth. Block-based standard deviations are computed. The input codewords are divided into codeword bins and each bin is assigned a standard deviation value. For each bin, a standard deviation to bit-depth function is applied to the bin values to generate minimal bit depth values for each codeword bin. An output codeword mapping function is generated based on the input bit depth, a target bit depth, and the minimal bit depth values. The codeword mapping function is applied to the input image to generate an output image in the target bit depth.

Abstract: A color processing apparatus includes a processor configured to implement first, second, and third acquiring units. The first acquiring unit acquires first color data indicating association among first-space color in a first space, second-space color obtained by reading measurement images having different first-space colors, and third-space color obtained by converting the second-space color through a predetermined transformation model. The second acquiring unit acquires second color data indicating association between the first-space color and the third-space color obtained by performing color measurement on some of the specific-color measurement images containing a specific color in the first space and included in the measurement images. The third acquiring unit acquires third color data indicating association between the first-space color and the third-space color obtained by converting the first-space color through a transformation equation obtained from the first and second color data.

Abstract: The image processing apparatus according to the present disclosure may include a reception module configured to receive three-color source data from the outside, and acquire a minimum value of the three-color source data; a data conversion module configured to convert the three-color source data into four-color data including a fourth color, and output the four-color data, a value of data of the fourth color in the four-color data being determined in accordance with the minimum value of the three-color source data and a first ratio of the data of the fourth color; a calculating module configured to calculate display values of the four-color data; and an adjustment module configured to control the data conversion module to adjust the first ratio of the data of the fourth color in accordance with the display values of the four-color data calculated by the calculating module.

Abstract: Methods and systems for calibrating devices reproducing high dimensional data, such as calibrating High Dynamic Range (HDR) displays that reproduce chromatic data. Methods include mapping input data into calibrated data using calibration information retrieved from spatial data structures that encode a calibration function. The calibration function may be represented by any multidimensional scattered data interpolation methods such as Thin-Plate Splines. To efficiently represent and access the calibration information in runtime, the calibration function is recursively sampled based on guidance dataset. In an embodiment, an HDR display may be adaptively calibrated using a dynamic color guidance dataset and dynamic spatial data structures.

Abstract: The present invention relates to a display method and a display device. The display method includes steps of: S1, obtaining an original image that needs to be displayed; S2, generating a plurality of first images each having the same boundary as the original image according to the information contained in the original image, wherein each first image includes at least partial information of the original image, and union of information contained in the plurality of first images includes all information contained in the original image; and S3, displaying, in the form of continuous multi-frame images, all first images in sequence within visual persistence time of human eyes. The above method can improve the display effect of the display device.

Abstract: A liquid crystal display device (1) includes an adjustment setting section (11), a color component adjusting section (14), and a background color setting section (12). In a case where the adjustment setting section (11) carries out color component adjustment, (i) the background color setting section (12) carries out a second process of setting a background color and (ii) the color component adjusting section (14) carries out a first process of converting a grayscale level of a picture element. In a case where the adjustment setting section (11) does not carry out the color component adjustment, (i) the background color setting section (12) does not carry out the second process and (ii) the color component adjusting section (14) does not carry out the first process.

Abstract: A method of self-adaptive conversion for images includes: calculating the degree of color saturation of each pixel of an RGB image and original grey value of each primary color component, and calculating a global gain value; calculating a total gain value of each pixel based on the global gain value and the partial gain value of each pixel; enhancing luminance of the white color component of each primary color component of each pixel based on the total gain value of each pixel, so to output an RGBW image. The present invention improves deviated color saturation to ensure display quality while elevating the display luminance when a conversion from an RGB image into an RGBW image.

Abstract: According to one embodiment, an image processor includes a processor. The processor implements acquiring a first image and first information. The first information indicates a condition of a first projection surface. The first information includes a first color gamut of the first projection surface. The processor implements deriving a second color gamut according to the first color gamut derived by using the first information. The processor implements converting a chromaticity of the first image to obtain a second image. Each pixel of the second image has a color included in the second color gamut. The processor implements generating a first converted image by correcting the second image based on the first color gamut.

Abstract: A video analyzing device according to the present invention specifies an object-related section from video. The object-related section being related to a specific object appearing in the video. The video analyzing device includes an object-related section specifier that specifies a non-detected section as the object-related section when a predetermined condition is satisfied and does not specify the non-detected section as the object-related section when the predetermined condition is not satisfied. The object-detected section is a section in which the specific object is detected. The non-detected section is a section in which the specific object is not detected and which is in a consecutive relation with the object-detected section.

Abstract: A camera image display system of audio video navigation (AVN) includes a central processing unit (CPU) configured to control an AVN system. A camera only graphical driver is configured at a kernel stage for an initial booting of the CPU to process a camera image. A display is configured to display the camera image output from the CPU. When the central processing unit is booted, the camera only graphical driver is simultaneously booted with a kernel.

Abstract: The present invention provides a pixel array comprising a plurality of pixel units, each of which comprises three sub-pixels in different colors, wherein, in each pixel unit, any two adjacent sub-pixels are combined into a pixel block. Compared to the prior art, the width of the sub-pixel in the present invention increases, which reduces the difficulty of the manufacturing process of the pixel array and improves product yield. The present invention further provides a driving method of the pixel array, a display panel including the pixel array, and a display device including the display panel. When driving the above pixel array with the driving method, granular sensation of the display panel including the pixel array can be reduced, and a display effect of a display panel with higher resolution in the same size can be achieved.

Abstract: In accordance with an embodiment of the present invention, a method for inserting secondary content into a media stream includes dividing the media stream having a plurality of frames into a plurality of shots at a processor. The method further includes grouping consecutive shots from the plurality of shots into a plurality of scenes. A first list of insertion points is generated for introducing the secondary content. The insertion points of the first list are boundaries between consecutive scenes in the plurality of scenes. An average insertion point saliency of the media stream is generated at the insertion points in the first list. A second list of insertion points is then generated. The insertion points in the second list are arranged to maximize a function of the average insertion point saliency and a distance between each insertion point in the second list with other insertion points in the second list.

Abstract: An adaptive screen and video coding system adaptively selects different coding schemes for coding an image block of a screen or video image based on a type of content included in the image block. The adaptive screen and video coding system further includes a screen coding scheme that classifies pixels of the image block into major colors and escape pixels and convert values of the pixels into index values assigned to the major colors and the escape pixels. Since the number of index values is usually less than a normal range of pixel values, using the index values instead of actual pixel values further facilitate compression and coding of the image block, thus improving coding accuracy and efficiency of the screen or video image. In one embodiment, the adaptive screen and video coding system may be used for screen sharing application.

Abstract: An RGB video signal is generated by illuminating an object with light from a first monitor and capturing an image of the object with a camera. The second monitor holds a profile representing the correspondence relationship between R, G, and B values generated by displaying an image including values of R, G, and B on a reference monitor and capturing an image of the displayed image with the camera and X, Y, and Z values which are measurements of tristimulus values of the displayed image in the XYZ color space. The second monitor converts the first R, G, and B values of the video signal to first X, Y, and Z values based on the profile, and converts the first X, Y, and Z values to second R, G, and B values appropriate for the second monitor to display an image of the object on a display unit.

Abstract: Techniques related to color matching and color conversion are discussed. Such techniques may include determining operators for converting input pixel values to output pixel values in a color space such that the operators may include a set of color conversion matrix operators, a chroma adaptation operator, and/or a luma adaptation operators determined based on one or more perceptual color space values associated with the input pixel values.

Abstract: A method for use with an electronic signboard (e.g., an LED signboard) compensates psychovisual chromaticity shift due to ambient light. The method first measures a color of light reflected from the signboard. Based on the measurement a set of calorimetric equations defining the desired light to be perceived as being displayed by each pixel of the signboard are solved. The calorimetric equations are the additive color mixture of the ambient light and the light to be actually displayed by the pixel in the absence of ambient light. The calorimetric equations may be expressed in units of uniform color space. The solutions of the colorimetric equations are then used to control the light actually displayed by the pixel.

Abstract: Techniques for de-noising a digital image using a multi-band noise filter and a unique combination of texture and chroma metrics are described. A novel texture metric may be used during multi-band filter operations on an image's luma channel to determine if a given pixel is associated with a textured/smooth region of the image. A novel chroma metric may be used during the same multi-band filter operation to determine if the same pixel is associated with a blue/not-blue region of the image. Pixels identified as being associated with a smooth blue region may be aggressively de-noised and conservatively sharpened. Pixels identified as being associated with a textured blue region may be conservatively de-noised and aggressively sharpened. By coupling texture and chroma constraints it has been shown possible to mitigate noise in an image's smooth blue regions without affecting the edges/texture in other blue objects.

Abstract: An image filter (100) for calculating a pixel value of target pixel in an output image from a pixel value of each of a pixel or pixels belonging to a filter area in an input image by using a filter coefficient vector V, is configured to include a filter coefficient vector changing section (120) for changing the filter coefficient vector V according to at least either where the target area is in the input image, or where the target pixel is in the output image.

Abstract: There are provided an image processing method. Perspective is calculated from an image, the image is divided into a plurality of objects in consideration of the perspective, and processing levels of the plurality of objects are assigned. A light shielding rate of a transparent display apparatus is calculated based on the processing levels. Further, image processing is performed on the objects on the basis of the processing levels, so that it is possible to improve a stereoscopic effect being felt while using the transparent display apparatus. Furthermore, a shielding rate of light entering from the rear side of the transparent display apparatus is effectively adjusted, and the image is processed to improve the visibility of the image.

Abstract: A method of increasing the color saturation of the RGB values of at least one pixel of an image, the method involving: calculating a luminance value based on RGB values of a first pixel; calculating a first maximum increase of said color saturation based on the highest of said RGB values and on said luminance value; calculating a second maximum increase of said color saturation based on the lowest of said RGB values and on said luminance value; and increasing the color saturation of said first pixel based on said first and second maximum increases.

Abstract: In an image processing device which processes a video signal displayed on a display having sub-pixels arranged in a shape of stripes, a pixel scan section scans the video signal by two pixels adjacent in a direction orthogonal to the stripes and detects, in the two pixels, dark sub-pixels continuing by a number equivalent to one pixel or more between two bright sub-pixels each of which has a largest value in each of the two pixels, a correction target determination section determines at least one sub-pixel in the dark sub-pixels to be a correction target, a correction value computation section computes a correction value of the correction-target sub-pixel based on the values of the sub-pixels included in the two pixels, and a sub-pixel correction section increases the value of the correction-target sub-pixel by the correction value.

Abstract: A system for registering printing presses includes printing stations for printing color images on a web includes an imager acquiring images of a web common area. The acquired image includes a portion of a color image associated with a printing station and a portion of one other color image associated with an un-registered printing station and a processor, coupled with the imager. A portion of the color image is registered with a portion of the other color image according to two monochrome images, each corresponding to a color image printed on the common area and determined according to the location of each pixel of the acquired image in a color separation space, the location is determined according to the projected location on a color projection plane. The portion of the one color image is registered with the portion of the one other color image with a reference image.

Abstract: Implementations generally relate to enhancing content appearance. In some implementations, a method includes receiving an image, selecting a reference object in the image. The method also includes determining one or more image parameter adjustments based on the selected reference object, and applying the one or more image parameter adjustments to the entire image.

Abstract: A driving method for rendering subpixels of each pixel of a display is provided. The display has a plurality of first pixels and a plurality of second pixels. Each second pixel has a first color subpixel and a second color subpixel, but lacks a third color subpixel. Each first pixel has a second color subpixel and a third color subpixel, but lacks a first color subpixel. The first color subpixel, second color subpixel and third color subpixel are used to represent gray levels of a first color, a second color and a third color respectively. Processes of rendering the subpixels of each pixel are performed based on positions, saturations and brightness of neighboring pixels, such that quality of image displayed on the display could be ensured even though each first pixel lacks the first color subpixel and each second pixel lacks the third color subpixel.

Abstract: The present invention relates to a method and system for closed-loop color correction based on a multidimensional table, and belongs to printing device correction methods in the field of image hardcopy. The method comprises a step of performing loop color correction for color conversion based on a multidimensional look-up table, wherein a mapping relationship is established between a set of input dots and a set of output dots using a multidimensional look-up table in the color conversion. With the method and system of this invention, for different combinations of papers, printing inks and devices, a color conversion may be corrected to a more accurate extent, getting a chromatic aberration and a visual appearance closer to that of a target color, so as to achieve the purpose of color consistency management.

Abstract: In a method of skin tone optimization in a color gamut mapping system, an image signal is first transformed from a predetermined color domain to an HSV color domain for generating an HSV image signal. Next, a skin tone optimization is performed on the HSV image signal for generating an adjusted saturation gain. Then, a color enhancement is performed on the HSV image signal according to the adjusted saturation gain and a color shift signal so as to generate a color enhancement signal. Finally, the color enhancement signal is transformed from the HSV color domain to the predetermined color domain.

Abstract: A display device is provided. The display device includes a display unit having pixels arranged in a two-dimensional matrix, each pixel including additive mixture subpixels and a luminance adjustment subpixel, and a signal control unit controlling a luminance at a maximum gray scale in the luminance adjustment subpixel depending on an external light illuminance.

Abstract: A method determining user liveness is provided that includes calculating, by a device, eye openness measures for a frame included in captured authentication data, and storing the eye openness measures in a buffer of the device. Moreover the method includes calculating confidence scores from the eye openness measures stored in the buffer, and detecting an eye blink when a maximum confidence score is greater than a threshold score.

Abstract: A display unit includes a plurality of display function layers provided in a stacking direction, and each including a plurality of pixel circuits. A pixel circuit group configured by predetermined number of the pixel circuits configures a single display pixel, and the predetermined number of the pixel circuits spans the plurality of display function layers.

Abstract: Color selection and display methods and devices in which colors can be displayed according to color harmony and color emotion and feedback obtained on color emotion and color harmony evoked by selected color and/or color combinations.

Abstract: A color database, in which a mutual correlation is established among an L*a*b*-color-system L*a*b* value as an attribute with respect to a color stimulus, an RGB value, and a sphere radius which is proportional to a color difference and is set in advance as a value indicating a level at that a person can sensuously distinguish between colors, the sphere radius being a radius of a color sphere having the L*a*b* value as a center point in an L*a*b*-color-system color solid, is included, and when the L*a*b* value or RGB value is input to an input unit, display data generation unit refers to the color database to generate display data in which the color sphere having a center point of the L*a*b* value or the L*a*b* value correlated with RGB value is disposed in the L*a*b*-color-system color solid of a line drawing, the color sphere having the correlated sphere radius.

Abstract: A method for adjusting the color point of a lighting unit including semiconductor-based lasers for generating an RGB signal. The method may include supplying at least one component of the RGB signal to a sensor via a filter; and actuating at least one of the semiconductor-based lasers by means of a signal detected by the sensor.

Abstract: Methods, apparatuses, and devices for rendering indoor maps on a display device of, for example, a mobile device, are presented. In one example, a processor of a mobile device may receive identifiers, such as alphanumeric identifiers, for points of interest (POI) and map at least portions of the identifiers to colors within a suitable color space, such as a RGB color space.

Abstract: A luminescence shock avoidance algorithm selectively limits the brightness level of a display device when the display device is activated in a dark environment to prevent the temporary vision impairment that can occur when a display device is activated in a dark environment. The algorithm receives the state of the display (e.g. on or in standby mode), and can optionally receive an ambient lighting value from an ambient light sensor and a user-selectable manual brightness adjustment setting to determine whether luminescence shock avoidance should even be triggered, and if it is triggered, how much should the brightness level of the display be limited.

Abstract: Embodiments provide techniques for stabilizing coloration for video content containing a plurality of frames. Embodiments include selecting a reference frame from the plurality of frames. A plurality of reference points are identified within the reference frame. Embodiments further include adjusting the coloration of each of two or more unselected frames in the plurality of frames, by identifying a second reference point within the unselected frame, corresponding to one of the plurality of reference points within the reference frame, determining a coloration difference between a depiction of the second reference point and a depiction of the corresponding reference point within the reference frame, and adjusting the coloration of the unselected frame, based on the determined coloration difference.

Abstract: The invention discloses a method for editing propagation of video and image content based on local feature structure preservation, comprising: mapping all pixels in the input original image and/or video key frames to a selected feature space; finding K nearest neighbor pixels for each pixel according to feature vectors' Euclidean distance in the selected feature space; using Locally Linear Embedding (LLE) dimension reduction to construct the locally linear relationship between each pixel and its K nearest neighbor pixels in the selected feature space; According to the present invention, it is possible to accurately perform such image or video processing as automatic color transformation, interactive color editing, gray image colorization, video cloning and image matting.

Abstract: An image processing apparatus includes a parameter estimation unit that estimates a first parameter for aligning first output image data with original image data and a second parameter for aligning second output image data with the original image data, a pixel value mapping unit that generates first pixel value mapping data associating color components of a pixel of the first output image data with color components of a corresponding pixel of the original image data and second pixel value mapping data associating color components of a pixel of the second output image data with color components of a corresponding pixel of the original image data, a map estimation unit that obtains a first map and a second map based on the first and second pixel value mapping data, and a conversion unit that converts a pixel value of the original image data based on the first and second maps.

Abstract: A first table, which expresses a color reproducible characteristic of a first output device, is generated, and a second table, which expresses a color reproducible characteristic of a second output device, is generated. Color values of grid points of the first table are mapped to a color gamut of the second output device expressed by the second table. A third table, which expresses a relationship between color values of the first table after mapping processing and device values required to reproduce colors of the color values by the second output device, is generated. With reference to the third table, a profile, which expresses a relationship between color values of grid points arranged on a uniform color space, and device values required to reproduce colors of the color values by the second output device, is generated.

Abstract: A device includes converters for converting first image data of an RGB-type into second image data of a YCbCr-type, into third image data of the YCbCr-type, and into fourth image data of the RGB-type, wherein a CbCr-coordinate system has six regions defined by coordinates of a reference color and of six primary colors, and when coordinates of the second image data are located in a region defined by coordinates of the reference color, a first primary color, and a second primary color, the coordinates of the second image data are determined by the coordinates of the reference color, the first primary color, the second primary color, coordinates of a target reference color corresponding to those of the reference color, coordinates of a first target primary color corresponding to those of the first primary color, and coordinates of a second target primary color corresponding to those of the second primary color.

Abstract: A method for viewing a simulated light output generated for a first display on a second display includes a variety of steps. First, the simulated light output is generated based on qualities of the first display. Next, the simulated light output is compensated for color differences, temporal differences, luminance differences including gamma difference, and differences in viewing environment between the first and the second display, in real-time. Then, the simulated light output that has been compensated for the differences and for viewing environment is output for the second display.

Abstract: A rendering method includes performing a binary representation of input data by using input data of target subpixels of an RGB stripe structure, such that the binary representation defines binary data, calculating the binary data via a line detection mask to detect a target line made of the target subpixels, rendering adaptation data of a plurality of adaptation subpixels included in an adaptation line corresponding to the target line, and controlling the adaptation data of a plurality of white subpixels corresponding to the target line among a plurality of adaptation subpixels to generate output data.