Processing method for encoding and decoding 3D (three dimensional) video

Abstract

The invention relates to the field of multimedia communication and particularly relates to a processing method for encoding and decoding a 3D (three dimensional) video. The processing method is characterized by comprising the following steps of: photographing a spot image by utilizing a 3D camera to generate synchronous high-definition image signal records; carrying out compression and encoding on synchronous high-definition image signals, dividing each image into a plurality of sub-images, and outputting and classifying quantized video objects, motion vectors, quantized horizontal inconsistent images, quantized vertical inconsistent images, quantized luminance residue textures and quantized chromaticity residue textures of each sub-image; sending ten thousand pairs of same-type code streams to respectively carry out variable length encoding, and outputting the code streams by taking the code streams as the single stream; carrying out decoding processing to restore corresponding image information by a receiving party; and carrying out insertion approximation image information processing on each sub-image in which error codes occur by the receiving party. According to the method provided by the invention, the visual distortion of a 3D video image is reduced, and a effect of the 3D video communication is improved.

Description

technical field [0001] The invention relates to the field of multimedia communication, in particular to a processing method for 3D video encoding and decoding. Background technique [0002] Uncompressed digital video signals can only be used for data exchange between local devices, not suitable for transmission and storage. Only by using digital compression technology can a good solution to the problem of a large amount of transmission bandwidth and storage space being occupied. Digital image compression technology is to use the characteristics of video images with great redundancy in space and time to remove redundant information in space and time, and only retain non-related information for transmission, which greatly saves the transmission frequency band. Receiving and using these irrelevant information, according to a certain decoding algorithm, can guarantee to restore the original image under the premise of a certain image quality. This is the principle of video comp...

AI Technical Summary

Problems solved by technology

However, often due to the quality of the transmission channel, the coded stream of the video image will experience packet loss and bit errors during the transmission process, especially the bit error rate and packet loss rate of the wireless transmission channel are relatively high, and The bandwidth changes greatly, which will prevent the video image receiver from receiving the encoded stream of the video image completely and correctly.

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