An image decoding method according to the present document includes: a step for deriving a luma intra prediction mode; and a step for generating a chroma candidate mode list for a chroma block including a preset number of chroma intra candidates by using at least one among a DM, a planar mode, a DC mode, a vertical mode, a horizontal mode, and an up-right diagonal mode, which are derived from the luma intra prediction mode, wherein the DM is a prediction mode corresponding to a center (CR) position of the luma block, and the chroma intra candidates other than the DM can be derived through a duplicate check of the DM and a prediction mode corresponding to any one among the top left (TL), top right (TR), bottom left (BL), and bottom right (BR) of the luma block, the planar mode, the DC mode, the vertical mode, and the horizontal mode.

An image decoding method according to the present document includes: a step for deriving a luma intra prediction mode; and a step for generating a chroma candidate mode list for a chroma block including a preset number of chroma intra candidates by using at least one among a DM, a planar mode, a DC mode, a vertical mode, a horizontal mode, and an up-right diagonal mode, which are derived from the luma intra prediction mode, wherein the DM is a prediction mode corresponding to a center (CR) position of the luma block, and the chroma intra candidates other than the DM can be derived through a duplicate check of the DM and a prediction mode corresponding to any one among the top left (TL), top right (TR), bottom left (BL), and bottom right (BR) of the luma block, the planar mode, the DC mode, the vertical mode, and the horizontal mode.

A method is disclosed. In the method, color differences are calculated between a current video frame and a motion predicted version of the current video frame based on a human visual system's ability to perceive the color differences. Also, information in a difference frame is discarded based on the color differences. The difference frame includes differences between the current video frame and the motion predicted version of the current video frame.

A method is disclosed. In the method, color differences are calculated between a current video frame and a motion predicted version of the current video frame based on a human visual system's ability to perceive the color differences. Also, information in a difference frame is discarded based on the color differences. The difference frame includes differences between the current video frame and the motion predicted version of the current video frame.

An example video codec includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine that a current mode of coding a current block of the video data is a single tree partitioning mode. Based on the current mode being the single tree partitioning mode, the one or more processors are configured to refrain from determining whether there is a non-DC coefficient for a chroma component of a transform unit (TU) for the current block and refrain from coding a low-frequency non-separable transformation (LFNST) index in response to the refraining of the determination of whether there is the non-DC coefficient. The one or more processors are configured to code the current block in the single partitioning mode with LFNST disabled.

An example video codec includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to determine that a current mode of coding a current block of the video data is a single tree partitioning mode. Based on the current mode being the single tree partitioning mode, the one or more processors are configured to refrain from determining whether there is a non-DC coefficient for a chroma component of a transform unit (TU) for the current block and refrain from coding a low-frequency non-separable transformation (LFNST) index in response to the refraining of the determination of whether there is the non-DC coefficient. The one or more processors are configured to code the current block in the single partitioning mode with LFNST disabled.

A method of interframe point cloud attribute coding is performed by at least one processor and includes coding a first color attribute of a point of a point cloud to obtain a first reconstructed residual, coding a second color attribute of the point to obtain a second reconstructed residual, and determining a quantization index of the second reconstructed residual, based on the first reconstructed residual and the second reconstructed residual. The method further includes updating the second reconstructed residual, based on the quantization index and the first reconstructed residual.

Given an input image in a high dynamic range (HDR) which is mapped to a second image in a second dynamic range using a reshaping function, to improve coding efficiency, a reshaping function generator may adjust the codeword range of the HDR input under certain criteria, such as for noisy HDR images with a relatively-small codeword range. An example of generating a scaler for adjusting the HDR codeword range based on the original codeword range and a metric of the percentage of edge-points in the HDR image is provided. The adjusted reshaping function allows for more efficient rate control during the compression of reshaped images.

Given an input image in a high dynamic range (HDR) which is mapped to a second image in a second dynamic range using a reshaping function, to improve coding efficiency, a reshaping function generator may adjust the codeword range of the HDR input under certain criteria, such as for noisy HDR images with a relatively-small codeword range. An example of generating a scaler for adjusting the HDR codeword range based on the original codeword range and a metric of the percentage of edge-points in the HDR image is provided. The adjusted reshaping function allows for more efficient rate control during the compression of reshaped images.

A method for managing image data in an automotive lighting device. This method includes the steps of providing an image pattern, dividing the image pattern in rows or columns of pixels, and providing for each row pattern, a plurality of linear segments, each linear segment is characterized by two values. The data of the linear segments is compressed, and the compressed data is sent to the light module. The invention also provides an automotive lighting device for performing the steps of such a method.