Embodiments of the present disclosure provides systems and methods for processing video content. The methods include: reconstructing a plurality of luma samples associated with a picture; and reconstructing a chroma block associated with the picture. The reconstructing of the chroma block includes: determining whether the chroma block has non-zero residues; and in response to a determination that the chroma block has one or more non-zero chroma residues, determining an averaged value of the plurality of reconstructed luma samples, and scaling residues of the chroma block based on the averaged value, prior to reconstructing the chroma block.

A method of video processing includes determining, for a conversion of a block of a video picture in a video and a bitstream representation of the video, gradients of a subset of samples in a region for a classification operation in a filtering process. The region has a dimension of M×N and the block has a dimension of K×L, M, N, K, L being positive integers. The block is located within the region. The method also includes performing the conversion based on the determining.

A method of video processing includes determining, for a conversion of a block of a video picture in a video and a bitstream representation of the video, gradients of a subset of samples in a region for a classification operation in a filtering process. The region has a dimension of M×N and the block has a dimension of K×L, M, N, K, L being positive integers. The block is located within the region. The method also includes performing the conversion based on the determining.

An enhancement decoder for video signals, comprising an interface to receive a first video stream (1150) using a first signal element coding format from a standard decoder, an interface to receive an enhancement data stream and a de-multiplexer (200) to decompose the enhancement data stream into a first set of enhancement data, a second set of enhancement data and a range data. A first decoder video stream derived from the first video stream at a first resolution is enhanced by a first enhancer using the first set of enhancement data. A second decoder video stream derived from an output of the first enhancer is converted by an up-sampler to a second resolution. The second resolution being higher than the first resolution. A third decoder video stream derived from an output of the up-sampler at the second resolution is enhanced by a second enhancer using the second set of enhancement data. A coding format adjustment module converts one of the first to third decoder video streams from a first signal element coding format to a second signal element coding format using the range data.

An enhancement decoder for video signals, comprising an interface to receive a first video stream (1150) using a first signal element coding format from a standard decoder, an interface to receive an enhancement data stream and a de-multiplexer (200) to decompose the enhancement data stream into a first set of enhancement data, a second set of enhancement data and a range data. A first decoder video stream derived from the first video stream at a first resolution is enhanced by a first enhancer using the first set of enhancement data. A second decoder video stream derived from an output of the first enhancer is converted by an up-sampler to a second resolution. The second resolution being higher than the first resolution. A third decoder video stream derived from an output of the up-sampler at the second resolution is enhanced by a second enhancer using the second set of enhancement data. A coding format adjustment module converts one of the first to third decoder video streams from a first signal element coding format to a second signal element coding format using the range data.

The invention provides a method for managing image data in a motor vehicle lighting system, the lighting system including at least one lighting module intended to project light beams, the light beams being generated from data relating to the selection of at least one image, each image being respectively defined by a matrix including a plurality of horizontal or vertical rows of pixels, with each pixel having a numerical value related to a light intensity of the pixel. The method includes determining whether the pixel under analysis is considered to be a significant point of inflection of the image, so as to transmit it to at least one lighting module, so that it is able to project a resulting image.

In an embodiment, a method involves receiving a pixel array, compressing the pixel array by, for each pixel block of multiple pixel blocks: accessing pixel values associated with pixels in the pixel block, determining a range of the pixel values and an endpoint pixel value in the range, determining quantization levels corresponding to different values within the range of the pixel values, selecting a quantization level from the quantization levels for each of the pixel values in the pixel block, and encoding the pixel values in the pixel block using their respective selected quantization levels and the endpoint pixel value.

A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

To preserve backward compatibility with a non-HDR device or service, an HDR picture may be represented using a modulation value and an SDR picture representative of the HDR picture. The modulation value and the SDR picture can then be encoded into the bitstream. At the receiving side, the modulation value and the SDR picture can be decoded. Based on the modulation value, the SDR picture can be mapped to a decoded HDR picture. For a non-HDR device or service, the modulation value information may be discarded and only the SDR picture is decoded. In particular, the modulation value may be implicitly signaled, using quad-tree representation information, intra coding information, inter partition mode information or motion vector residual information.