Ultra-high-definition video compression encoding and decoding method with ultra-low time delay

Abstract

The invention belongs to the technical field of wireless multimedia communication, and discloses an ultra-high-definition video compression encoding and decoding method with ultra-low time delay, which comprises the following steps that: an encoding end performs input preprocessing on an input video image to remove a direct-current component; asymmetric wavelet decomposition is carried out on thepreprocessed image to obtain sub-bands with different resolutions, and proportional extraction is carried out on wavelet coefficients after transformation in a frequency domain; the processed waveletcoefficients are reasonably divided into regions, and code rate control is performed on the regions to obtain corresponding quantization parameters and entropy coding modes; entropy coding and code stream organization are carried out on a quantized code block coefficient; at a decoding end, firstly, header analysis is carried out on an obtained code stream to obtain decoding parameters; entropy decoding is carried out to obtain wavelet coefficient values and bit plane counting positions, and interpolation recovery is carried out after inverse quantization; and inverse wavelet transform is performed to obtain original image data. According to the method, the complexity of compression and decompression algorithms is effectively reduced, and meanwhile, efficient compression and decompressionand low-delay output of an ultra-high-definition video are realized.

Description

technical field [0001] The invention belongs to the technical field of wireless multimedia communication, and in particular relates to an ultra-low-latency ultra-high-definition video compression encoding and decoding method. Background technique [0002] At present, with the rapid development of video coding technology and display devices, video, as an efficient information transmission method, has been widely distributed in the Internet, TV broadcasting and various emerging media applications. The demand for ultra-low-latency ultra-high-definition video transmission in indoor scenarios is becoming more and more common, making indoor short-distance wireless high-speed multimedia transmission technology a research hotspot in recent years. The requirements of these applications are more stringent for indoor short-distance wireless high-speed multimedia transmission, requiring low delay, high speed, large capacity and high reliability transmission. [0003] The era of ultra-h...

AI Technical Summary

Problems solved by technology

Compared with the traditional HEVC intra prediction algorithm, it saves 4.4% of the code rate, but because of the use of fully connected neural networks and floating point operations in the multiplication operation, the complexity is extremely high

In fact, the improvement of the convolutional neural network coding algorithm for inter-frame prediction is because the designed neural network can reduce the block effect to improve the quality of inter-frame prediction, and at the same time, the complexity is extremely high, which is not conducive to low-latency compression coding.

[0005] Through the above analysis, the existing problems and defects of the existing technology are: the complexity of the existing high-definition / ultra-high-definition video compression coding algorithm is extremely high, and the delay of the coding and decoding loop is relatively large

[0006] The difficulty of solving the above problems and defects is as follows: the huge increase in the data volume of ultra-high-definition video brings great difficulties to the compression coding algorithm, and it is necessary to encode the data at the source end with a higher compression ratio

However, as the compression ratio increases, the image quality output by the source encoder will decrease, which cannot meet people's requirements for ultra-high-definition image quality.

At the same time, the source encoder adopts a variety of hybrid techniques to improve the compression ratio, which will greatly increase the complexity and encoding delay of the encoder, so it is necessary to compromise the compression ratio and quality in the actual algorithm design

[0007] The significance of solving the above problems and defects is: real-time multimedia applications in indoor scenes are very sensitive to encoding delays, and excessive encoding delays will affect the quality of user experience, causing discomfort to users during the experience process, and even in game competitions. time will bring great disaster

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