Abstract: A method and an apparatus for encoding a picture are disclosed. For at least one block of a picture to encode, a block predictor is determined (22) for a decoded first component (21) of said at least one block, from a reconstructed region of a first component of said picture. At least one second component of said at least one block is then encoded (23) by predicting said at least one second component from a second component of said block predictor. Corresponding decoding method and apparatus are disclosed.

Abstract: A content stream comprising video and synchronized illumination data is based on a reference lighting setup from, for example, the site of the content creation. The content stream is received at a user location where the illumination data controls user lighting that is synchronized with the video data, so that when the video data is displayed the user's lighting is in synchronization with the video. In one embodiment, the illumination data is also synchronized with events of a game, so that a user playing games in a gaming environment will have his lighting synchronized with video and events of the game. In another embodiment, the content stream is embedded on a disk.

Abstract: A content stream comprising video and synchronized illumination data is based on a reference lighting setup from, for example, the site of the content creation. The content stream is received at a user location where the illumination data controls user lighting that is synchronized with the video data, so that when the video data is displayed the user's lighting is in synchronization with the video. In one embodiment, the illumination data is also synchronized with events of a game, so that a user playing games in a gaming environment will have his lighting synchronized with video and events of the game. In another embodiment, the content stream is embedded on a disk.

Abstract: The present disclosure generally relates to a method for predicting at least one block of pixels of a view (170) belonging to a matrix of views (17) obtained from light-field data belong with a scene. According to present disclosure, the method is implemented by a processor and comprises for at least one pixel to predict of said block of pixels: —from said matrix of views (17), obtaining (51) at least one epipolar plane image (EPI) belong with said pixel to predict, —among a set of unidirectional prediction modes, determining (52) at least one optimal unidirectional prediction mode from a set of previous reconstructed pixels neighboring said pixel to predict in said at least one epipolar plane image, —extrapolating (53) a prediction value of said pixel to predict by using said at least one optimal unidirectional prediction mode.

Abstract: The present disclosure generally relates to a method for predicting at least one block of pixels of a view (170) belonging to a matrix of views (17) obtained from light-field data belong with a scene, According to present disclosure, the method is implemented by a processor and comprises for at least one pixel to predict of said block of pixels: —from said matrix of views (17), obtaining (51) at least one epipolar plane image (EPI) belong with said at least one pixel to predict, —among a set of bidirectional prediction modes, determining (52) at least one optimal bidirectional prediction mode from a set of previous reconstructed pixels neighbouring said at least one pixel to predict in said at least one epipolar plane image, —extrapolating (53) a prediction value of said at least one pixel to predict by using said at least one optimal bidirectional prediction mode.

Abstract: A spatial guided prediction technique uses reconstructed pixels of a first component of a digital video image block to determine prediction modes used to recursively build prediction blocks for the other components of the same digital video image block. The technique builds improved predictions resulting in smaller prediction residuals and less bits to code for a given image quality. In one embodiment, the prediction blocks for the subsequent digital video component blocks are built recursively line by line. In another embodiment, the prediction blocks for subsequent digital video component blocks are built recursively column by column.

Abstract: When performing inter-layer prediction, the present method and apparatus make predictive inter-layer determinations, such as from the LDR layer to the HDR layer, based on pixels used in the LDR layer for intra prediction of the LDR block using an intra LDR mode and also based on the homologous pixels in the HDR layer for the intermediate intra prediction block using the same intra LDR mode. By using these bases, it is possible to estimate an inverse tone mapping function and then apply this estimated function to the LDR block in order to determine the inter-layer HDR prediction block.

Abstract: A method and an apparatus for encoding a picture are disclosed. For at least one block of a picture to encode, a block predictor is determined (22) for a decoded first component (21) of said at least one block, from a reconstructed region of a first component of said picture. At least one second component of said at least one block is then encoded (23) by predicting said at least one second component from a second component of said block predictor. Corresponding decoding method and apparatus are disclosed.

Abstract: The present disclosure generally relates to a method for predicting at least one block of pixels of a view (170) belonging to a matrix of views (17) obtained from light-field data belong with a scene. According to present disclosure, the method is implemented by a processor and comprises for at least one pixel to predict of said block of pixels: —from said matrix of views (17), obtaining (51) at least one epipolar plane image (EPI) belong with said pixel to predict, —among a set of unidirectional prediction modes, determining (52) at least one optimal unidirectional prediction mode from a set of previous reconstructed pixels neighboring said pixel to predict in said at least one epipolar plane image, —extrapolating (53) a prediction value of said pixel to predict by using said at least one optimal unidirectional prediction mode.

Abstract: A method for generating at least one image with a first dynamic range, from an image with a second dynamic range, which is lower than the first dynamic range is described. The method includes obtaining an epitome of the image with a first dynamic range, called a first epitome. Thereafter, the image with a first dynamic range is generated from the image with a second dynamic range and the first epitome.

Abstract: Clustering patches of a degraded version of an image is such that the clusters are based on errors computed between patches of the degraded version processed with upgrade functions associated respectively with the clusters and patches of a full graded version of the image corresponding respectively to the patches of the degraded version. The source image is thus used to determine clusters for the image to restore. A restoration framework based on a clustering according to the present principles is also disclosed.

Abstract: The present disclosure generally relates to a method for reducing the coding artefact of at least one pixel of a view (170) belonging to a matrix of views (17) obtained from light-field data associated with a scene. According to present disclosure, the method is implemented by a processor and comprises for each said at least one pixel: —from said matrix of views (17), obtaining (51) at least one epipolar plane image (EPI) associated with said pixel, —applying (52) an artefact filtering on pixels of said epipolar plane image (EPI), —redistributing (53) the filtered pixels of the epipolar plane image in the matrix of views (17).

Abstract: The present disclosure generally relates to a method for predicting at least one block of pixels of a view (170) belonging to a matrix of views (17) obtained from light-field data belong with a scene, According to present disclosure, the method is implemented by a processor and comprises for at least one pixel to predict of said block of pixels: —from said matrix of views (17), obtaining (51) at least one epipolar plane image (EPI) belong with said at least one pixel to predict, —among a set of bidirectional prediction modes, determining (52) at least one optimal bidirectional prediction mode from a set of previous reconstructed pixels neighbouring said at least one pixel to predict in said at least one epipolar plane image, —extrapolating (53) a prediction value of said at least one pixel to predict by using said at least one optimal bidirectional prediction mode.

Abstract: A method comprises, building (S715) a first intermediate patch of a low dynamic range; building (S725) a second intermediate patch of a high dynamic range; building (S735) a patch by applying a transfer function to a transformed initial patch of the base layer in a transform domain and then applying an inverse transform to the resulting patch so as to return in a pixel domain; predicting (S740) a prediction of the current block of the enhancement layer by extracting a block from the patch; and encoding a residual error between the current block of the enhancement layer and the prediction of the current block of the enhancement layer.

Abstract: A method for encoding and decoding an image block, an encoder, and a decoder are provided. The method for encoding an image block comprises: determining a local dynamic range of the block; adaptively precision-extending pixel values of the block based on the local dynamic range of the block; and encoding the block with an adaptively extended precision. The method for decoding an image block comprises: determining a minimum pixel value of the block and an indicating value for indicating a precision extension factor according to precision extension information; decoding the block according to the indicating value; and de-extending precision of the decoded block based on the minimum pixel value of the block and the precision extension factor. The precision of the intermediate calculations may be improved without increasing an original intermediate bit depth used in intermediate calculations.

Abstract: A method of encoding a video image includes, for each one of blocks of the video image, calculating virtual gradient values in the block depending on neighboring gradient values computed in a causal neighborhood of the block and acquiring one prediction direction or non-directional intra prediction mode based on the virtual gradient values; and determining a coding mode by comparing different predictions for the block, acquiring a predicted block by applying the determined “coding mode”, acquiring a residual error between the predicted block and the current block and encoding a difference between the determined coding mode and the prediction direction or non-directional intra prediction mode. The calculating includes, for each prediction direction, propagating the neighboring gradient values along the prediction direction to estimate the virtual gradient values in the block.

Abstract: A method for constructing an epitome from an image divided into non overlapping blocks is disclosed. The method comprises: determining, for each block, similar patches in the image, a similar patch being a patch with similar content; constructing at least one epitome chart for the picture from the similar patches; wherein determining, for each block, similar patches in the image comprises: a) determining, for each current block, similar blocks in the image, a similar block being a block with content similar to the content of the current block; b) determining, for one current block and for the similar blocks determined for the current block, similar patches in the image, a similar patch being a patch with content similar to the content of the current block; c) repeating step b) for a next current block for which no similar patch is determined until at least one similar patch is determined for each block in the image.

Abstract: A method and an apparatus for de-noising an image, and in particular, de-noising an image using video epitome based on a source video image. An embodiment of the present principles provides a method of processing an image in a video, comprising: decoding an encoded version of the image to generate a decoded version of the image; and generating a de-noised version of the image using the decoded version of the image and a video image epitome which is a texture epitome associated with the image, wherein the video image epitome was extracted from a source version of the image, wherein the generating comprises: de-noising a current patch using corresponding patches located in the video image epitome that correspond to at least one of a plurality of nearest neighbor patches.

Abstract: A method for generating at least one image with a first dynamic range, from an image with a second dynamic range, which is lower than the first dynamic range is described. The method includes obtaining an epitome of the image with a first dynamic range, called a first epitome. Thereafter, the image with a first dynamic range is generated from the image with a second dynamic range and the first epitome.

Abstract: The present principles provide a method and an encoder for encoding an image frame. The method includes generating, with a processor, for each block in the image frame a prediction block based on at least a prediction method; generating a scaling factor and an offset for adjusting the prediction block; and transforming the prediction block into an adjusted prediction block based on the scaling factor and the offset. The encoder includes a processor configured to, for each block in the image frame, generate a prediction block based on at least a prediction method and generate a scaling factor and an offset for adjusting the prediction block and to transform the prediction block into an adjusted prediction block based on the scaling factor and the offset. The scaling factor and offset minimize error between the block and the adjusted prediction block.