4results about How to "Improve subjective quality" patented technology

The application discloses a target distance adaptive image compression method and an image decompression method, wherein the image compression method comprises a training process and an inference process; the training process further comprises depth information extraction, data preprocessing and model training; the depth information extraction takes an image containing a close-range target as input, uses a depth estimation network to extract a depth value corresponding to each pixel from the image, and outputs a single-channel depth map containing the depth value, the resolution of the depth map being the same as that of the input image; the data preprocessing randomly divides images used for training into smaller image blocks, and divides a depth map obtained through the depth information extraction process into small blocks corresponding to the images; the model training performs training on an image compression network, takes the cut image blocks as input, processes the image blocks through a neural network, and outputs corresponding reconstructed image blocks; and the inference process performs image compression.

A method for obtaining a current block of a motion compensated prediction sample is provided. The method comprises selecting (s902) a motion vector from a set of candidate motion vectors, the set of candidate motion vectors comprising a first candidate motion vector and a second candidate motion vector. Selecting a motion vector from a set of candidate motion vectors includes calculating a first misaligned distortion value for a first candidate motion vector. Calculating the first misaligned distortion value for the first candidate motion vector is based on a difference in sample values on a boundary between the first neighboring block and the current block. The method comprises using (s904) the selected motion vector to generate a block of motion compensated prediction samples.

An audio signal processing device comprises a discontinuity detector configured to determine an occurrence of a discontinuity from a sudden increase of an amplitude of decoded audio obtained by decoding the first audio packet which is received correctly after an occurrence of a packet loss, and a discontinuity corrector for correcting the discontinuity of the decoded audio.

The application provides a video coding method based on saliency, wherein the coding method comprises the following steps: judging whether a current video image is the first frame in an image group; if yes, using an intra-frame coding method to code the current video image into a code stream BS; if no, obtaining a reference image from a decoded image buffer, and using an inter-frame coding method to code the current video image into a motion vector code stream BS mv and a prediction residual code stream BS r The application has the advantages that, under the same code rate, the video coded by the method of the application has better quality in the salient region, so that the reconstructed video has better subjective quality, or under the same subjective quality, the video code rate is lower, and resources are saved.