Self-adaption entropy encoder

Abstract

The invention discloses a self-adaption entropy encoder. A zero-run encoding module conducts self-adaption zero-run encoding on data to be encoded when input effective marking signals are effective, and run data and run effective marking signals are obtained after zero-run encoding; a non-negative mapping module enables the run data after the zero-run encoding to be mapped into a non-negative space from an integer range when the run effective marking signals are effective, and non-negative data and the non-negative effective marking signals are output after mapping is output; an index Columbus encoder order updating module receives an input sample zero index, the non-negative data after mapping, and the non-negative effective marking signals after mapping, context modeling is conducted on the non-negative data when the non-negative effective marking signals are effective, and reasonable index Columbus encoding orders of the non-negative data are calculated; and an index Columbus encoding module receives the non-negative data and conducts index Columbus encoding of the index Columbus encoding orders on the non-negative data when the non-negative effective marking signals are effective, and entropy encoding code stream and code stream effective marking information are obtained and output.

Description

technical field [0001] The invention relates to the field of digital video processing, in particular to an adaptive entropy coder and its hardware implementation method. Background technique [0002] With the continuous development of the audio and video industry, the resolution of video images is increasing day by day, resulting in an increasing amount of data. How to effectively store and real-time transmit these video image data has become the focus of people's increasing attention. Efficient video image coding technology is undoubtedly an effective way to solve this problem. Video coding standards such as MPEG-4 and H.264 / AVC have appeared in the world, and my country has also formulated the Chinese video coding standard AVS. The above-mentioned video coding standards can efficiently compress video signals under the premise of maintaining subjective video quality, thereby significantly reducing storage space and transmission bandwidth requirements. [0003] Among them...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the object of the present invention is to provide an adaptive entropy encoder to solve the problem of low entropy encoding speed caused by high entropy encoding operation complexity and excessive calculation amount in video image encoding, and it is difficult to meet ultra-high-definition Or the problem of real-time compression of high-definition video

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