Abstract: Method comprising: first mapping, in a reference color space, said source colors from a source color gamut into a reference color gamut, resulting in intermediate colors, second mapping said intermediate colors from said reference color gamut into said target color gamut, resulting in target colors forming at least one mapped image, wherein said first mapping is defined through information representing said second mapping.

Abstract: An image processing method is described. The method includes obtaining low dynamic range expansion exponents ELDR(p), obtaining target expansion exponents ET(p) as a weighted sum of the high dynamic range expansion exponents EHDR(p) and of the low dynamic range expansion exponents ELDR(p), applying obtained target expansion exponent ET(p) to low dynamic range luminance values YLDR of a low dynamic range version of the image, resulting in target luminance values YT, and building a tone-adapted version of said image based on said target luminance values YT.

Abstract: A method for inverse tone mapping is provided. The method comprising obtaining a digital image in a color space wherein the luminance is separate from the chrominance, determining a base luminance of pixels in the digital image, determining a detail enhancement map, determining a pixel expansion exponent map, determining an edge map of the image, inverse tone mapping luminance of image based on edge map, pixel expansion map and base luminance, and providing an expanded dynamic range image based on the inverse tone mapped luminance.

Abstract: A method for evaluating color differences of pixels is provided. The method comprises obtaining color information of a first pixel in a color opponent space obtaining color information of a second pixel in the color opponent space, defining a half-line in the color opponent space based on the color information of the first pixel, and determining distance between color information of the second pixel and half-line in the color opponent space.

Abstract: Inverse tone mapping based on luminance zones is provided. A digital image can be obtained and luminance values of pixels of the digital image can be determined. One or more values of luminance zone boundaries can be determined. A zone expansion exponent map based on the luminance values and the one or more luminance zone boundaries can be determined. The one or more luminance zone boundaries divide the zone expansion exponent map into a plurality of luminance zones. The luminance values of the image can be inverse tone mapped based on the zone expansion exponent map. An expanded dynamic range image can be provided based on the inverse tone mapped luminance values.

Abstract: A method for converting a standard dynamic range (SDR) sequence into a high dynamic range (HDR) sequence is described. The method includes determining (S1) successive shots in the SDR sequence by cut detection, detecting (S2) if the SDR sequence comprises a sub-sequence of at least two successive short shots having a duration lower than D1, said subsequence comprising at least one bright shot having a luminance and a size greater than L1 and SZ1 respectively, and mapping (S3) the luminance range of bright shots of the detected subsequence from the low dynamic range to a first high dynamic range and mapping the other shots of the SDR sequence from the standard dynamic range to a second high dynamic range in order to generate the HDR sequence, the first high dynamic range having a maximal value Lmax1 lower than that of the second high dynamic range Lmax2.

Abstract: A method for converting a standard dynamic range (SDR) sequence into a high dynamic range (HDR) sequence is described. The method includes determining (S1) successive shots in the SDR sequence by cut detection, detecting (S2) if the SDR sequence comprises a sub-sequence of at least two successive short shots having a duration lower than D1, said subsequence comprising at least one bright shot having a luminance and a size greater than L1 and SZ1 respectively, and mapping (S3) the luminance range of bright shots of the detected subsequence from the low dynamic range to a first high dynamic range and mapping the other shots of the SDR sequence from the standard dynamic range to a second high dynamic range in order to generate the HDR sequence, the first high dynamic range having a maximal value Lmax1 lower than that of the second high dynamic range Lmax2.

Abstract: The method comprises segmenting lines into regions of saturated pixels, and, for each of these saturated regions, selecting at least one color channel that is not saturated, then, for each pixel of said region, adding to the color information provided by the saturated color channel for said pixel a difference between the color information provided by the selected non-saturated color channel for said pixel and a baseline color value computed for the region of this pixel.

Abstract: The method comprises the steps of, successively for each image following a preceding image based on a map of motion vectors that corresponds to the motion from said preceding image toward said following image, building a pixel mask for said following image, applying said pixel mask to the corresponding following image in order to obtain a corresponding masked image that samples the pixels of said following image. The application of this method to color clustering allows the iterative update of the colors clusters with limited computer resources.

Abstract: The disclosure relates generally to the field of high dynamic range (HDR) imaging and addresses the way of expanding the dynamic range of low dynamic range images. A method having the steps of obtaining expansion exponent map data for each one of a plurality of clusters of reference images, obtaining, for each cluster, one feature, called visual feature, representative of the luminance of reference images of the cluster, obtaining a visual feature for the image, comparing the visual feature of the image with the visual features of the clusters according to a distance criterion, selecting the cluster, the visual feature of which is the closest to the visual feature of the image, and applying an expansion exponent map defined by the expansion exponent map data of the selected cluster to the image is described.

Abstract: A method for evaluating color differences of pixels is provided. The method comprises obtaining color information of a first pixel in a color opponent space obtaining color information of a second pixel in the color opponent space, defining a half-line in the color opponent space based on the color information of the first pixel, and determining distance between color information of the second pixel and half-line in the color opponent space.

Abstract: Systems and methods of grouping image regions of an image and processing the image based on the different groups are disclosed. A system is provided including a processor and a memory storing instructions. The instructions cause the processor to obtain an image and determine multiple image regions of the image. A morphological skeleton is determined for each of the image regions, and distances between image regions are determined based on the morphological skeletons. Multiple groups of two or more of the image regions are determined based on the distances, and the image is processed based on the groups.

Abstract: A method and an arrangement for an improved outlier detection for color mapping. Spatial neighborhoods of feature points are used for outlier detection. For this purpose, Geometric Feature Correspondence neighborhoods of an initial color-corrected test-image and a reference image are compared in a neighborhood comparator.

Abstract: Method of mapping source colors of a source content represented by source coordinates comprising: —applying a reference display forward color transform characterizing a reference display device, —applying a virtual display inverse color transform configured to model a virtual display device having approximately the same color primaries as a mastering display device used to master said source content.

Abstract: The method comprises segmenting lines into regions of saturated pixels, and, for each of these saturated regions, selecting at least one color channel that is not saturated, then, for each pixel of said region, adding to the color information provided by the saturated color channel for said pixel a difference between the color information provided by the selected non-saturated color channel for said pixel and a baseline color value computed for the region of this pixel.

Abstract: The invention relates to a method for video processing of at least one image of a video sequence, said video sequence comprising a plurality of image pairs, each image pair comprising a first image and a second image said first and second images being intended to form a stereoscopic image. In order to reduce display defects, the method comprises a step of generation of at least a third image by motion compensated temporal interpolation from at least two of said second images.

Abstract: Image saturation of a sensor pixel array is reduced by adjusting RGB color channel gains for an LED light source. Pixel saturation information is obtained from a sensor pixel array with an image on it illuminated by the LED light source. It is then analyzed to determine saturation levels of the captured image for each RGB component of the LED light source. The gain of each RGB color channel of the LED light source is then adjusted to reduce pixel saturation when using the LED light source for image capturing.

Abstract: Method comprising: first mapping, in a reference color space, said source colors from a source color gamut into a reference color gamut, resulting in intermediate colors, second mapping said intermediate colors from said reference color gamut into said target color gamut, resulting in target colors forming at least one mapped image, wherein said first mapping is defined through information representing said second mapping

Abstract: To capture an image, the image sensing period of this image is subdivided into a plurality of successive illumination periods, and the value which is assigned to each pixel to capture the image is the sum of the integrals of intensity of illumination of this pixel over each of said successive illumination periods. According to the invention, this sum is weighted by an apodization function in order to emulate a mechanical shutter. Temporal aliasing issues and temporal ringing artifacts of digital imaging are prevented or at least limited.

Abstract: The method comprises the steps of, successively for each image following a preceding image, based on a map of motion vectors that corresponds to the motion from said preceding image toward said following image, building a pixel mask for said following image, applying said pixel mask to the corresponding following image in order to obtain a corresponding masked image that samples the pixels of said following image. The application of this method to color clustering allows the iterative update of the colors clusters with limited computer resources.