Method for encoding and decoding images and videos

Abstract

The invention relates to a method for encoding and decoding images and videos. The current method influences the quality of videos, increases the risk of data loss simultaneously and has poor encodingcompression rate. The method in the invention comprises the following steps: firstly classifying single image objects; building image object standard model databases; respectively implanting identical standard model databases into an image encoder and an image decoder; then carrying out encoding on the images by utilizing the image encoder; retrieving the standard model databases and rebuilding the image objects by the image decoder; combining the rebuilt image objects into virtual images; and obtaining the real images by combing with the virtual images according to image residue error. The method in the invention greatly reduces the data quantity used for channel transmission, and when the quantity of the images needing to be processed is enormous, the effect is more superior and image storage and retrieval are more convenient.

Description

technical field [0001] The invention belongs to the technical field of image and video signal processing, and in particular relates to an image and video encoding and decoding method. Background technique [0002] Visual activity is one of the most important basic activities of human beings, and visual information is the main way and important form for human beings to acquire external knowledge and understand the world. According to statistics, more than 80% of human information is obtained through vision. Image information processing is a science that studies the theory and methods of the generation and collection of image signals by humans or machines, and the formation, extraction, analysis, synthesis, expression and utilization of information. It is a comprehensive and interdisciplinary subject. Image and video signal processing mainly includes: image and video data compression coding, transmission, decoding, storage, retrieval, etc., and compression coding and decoding...

AI Technical Summary

Problems solved by technology

[0005] (1) The amount of data between the video I frame and the P frame or B frame is very different, which causes the peak value and change rate of the transmission code rate to fluctuate violently, affects the transmission quality, and requires more transmission bandwidth;

[0006] (2) The I frame has a large amount of data, and the compression effect is not good. In order to improve the compression ratio, the I frame needs to be set more sparsely, but in this way, once the I frame is lost, it will make the following P frame or B frame Unable to decode, affecting video quality and increasing the risk of data loss;

[0007] (3) The compression rate of still image coding is unsatisfactory. Whether the object-oriented and content-based codec technology can be applied to still image coding is a problem to be explored

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