Reference frame cache data compression method, computer device and computer readable storage medium

Abstract

The invention provides a reference frame cache data compression method, a computer device and a computer readable storage medium, and the method comprises the steps: carrying out the risk allocation of a row target bit number for each row of pixels, and obtaining the row target bit number of each color component of each row of pixels; performing risk allocation of a macro block target bit number on each macro block to obtain the macro block target bit number of each macro block; and analyzing and coding the macro block, wherein the risk allocation of the row target bit number for each row of pixels comprises the following steps: calculating the lowest coding bit number of each row of pixels, calculating the risk-adventure code rate of each row of pixels, carrying out advanced allocation on the risk-adventure code rate of each row of pixels, calculating the risk-adventure bit number of each row of pixels, calculating the risk-adventure bit number of each row of pixels, taking the sum of the lowest coding bit number of each row of pixels and the risk-taking bit number of the row of pixels as the target bit number of the row of pixels. The invention further provides a computer device and a computer readable storage medium for implementing the method. According to the invention, the compression of the reference frame can be easily realized through hardware.

Description

technical field [0001] The present invention relates to the technical field of image coding and decoding, in particular, a reference frame buffer data compression method, a computer device and a computer-readable storage medium for realizing the method. Background technique [0002] As the definition of the image becomes higher and higher, the amount of data of one frame of image is also larger and larger. The original data that converts the captured light source signal into a digital signal by an image sensor such as CMOS or CCD is called RAW data. During the processing of RAW data, it is necessary to cache the data of one frame of image as the reference frame for subsequent processing. Because the reference frame The amount of data is relatively large and requires multiple reads and writes. Therefore, in the process of processing image data through hardware, the reference frame not only occupies a large amount of storage space, but also wastes a huge system bandwidth durin...

AI Technical Summary

Problems solved by technology

[0004] However, the existing reference frame compression technology has the following defects: first, the complexity of the prediction method is high, and it is difficult for a single prediction mode to adapt to all image contents. Second, in low-cost hardware implementation, the compression ratio of the lossy compression method is too low, resulting in a large amount of compressed data; finally, the compressed data will amplify the compression error during video transmission, making it difficult to effectively to stabilize the compression

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