Macroblock level quantized parameter process method and apparatus

Abstract

The embodiment of the invention discloses a processing method and a processing device of a macro-block level quantizing parameter. The processing method of the macro-block level quantizing parameter comprises the steps that the direct residual value of the macro block is computed; the type of the macro block can be judged according to the direct residual value of the macro value and the position of the macro block in the image; and the value of the quantizing parameter used for the macro block can be computed and encoded according to the type of the macro block. The processing device of the macro-block level quantizing parameter comprises a first computation module used for computing the direct residual value of the macro block, a judging module used for judging the type of the macro block; and a second computation module used for computing and encoding the value of the quantizing parameter used for the macro block. The embodiment of the invention realizes the purposes that the more code rates can be distributed to the macro block of the interested area and the fewer code rates can be distributed to the macro block of the insensitive area and enhances the subjective quality of the video image.

Description

technical field [0001] The present invention relates to the technical field of video coding, in particular to a macroblock-level quantization parameter processing method and device. Background technique [0002] With the continuous update and development of video coding technology, a new generation of video coding standard - H.264 / AVC has emerged. Compared with previous video coding standards, this standard has high compression efficiency, good network performance, and is suitable for interactive and Non-interactive application environment and other significant advantages, so it has received more and more attention. The video coding standard H.264 / AVC in the prior art is due to the adoption of layered design, high-precision intra-frame prediction methods, multi-mode motion estimation / motion compensation, loop filtering, new entropy coding methods, and rate-distortion optimization. Technology (Rate Distortion Optimized, RDO) and other new technologies have greatly improved t...

AI Technical Summary

Problems solved by technology

Although the method of controlling the code rate in the prior art can reflect the objective difference between the reconstructed image and the original image, it does not consider the sensitivity of people to image differences, and this method uses more code rates to improve the HVS insensitivity. The quality of the region, even if this improvement is usually not observed

Therefore, this method of evenly distributing code rates and calculating quantization parameters in the prior art not only cannot effectively use limited code rates, but also causes waste of code rates

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