Video decoding method and device for reducing LCD display movement fuzz

Abstract

The invention discloses a video decoding method for reducing the LCD displaying motion fuzzy, which includes the following steps: a video stream enters a de-multiplexing module to be de-multiplexed to obtain motion coding information and texture coding information; after the motion coding information enters a motion coding module, the vector information of motion estimation is analyzed, and the vector information is input into a motion compensation module to obtain a motion compensation image; the texture coding information enters an image texture decoding module to obtain a texture decoding image which is combined with the motion compensation image to obtain a reconstructed image; the reconstructed image is input into an image marginal detecting module to obtain marginal vector information, which enters a dynamic image marginal enhanced module together with the motion estimation vector information; the dynamic image marginal enhanced module inputs enhanced video images into an LCD displaying module. The invention also discloses a device for realizing the method. The method of the invention can effectively improve the motion fuzzy phenomenon during the LCD displaying and save software and hardware resources as well as reduce implementation costs.

Description

technical field [0001] The present invention relates to a video decoding method, in particular to a video decoding method for reducing LCD (Liquid Crystal Display, liquid crystal) display motion blur and a device used therefor. Background technique [0002] Compared with traditional CRT (Cathode Ray Tube, cathode ray tube) monitors, one of the main problems of LCD monitors is motion blur, that is, blurring or trailing phenomenon will be caused when fast-moving video scenes are displayed. [0003] The main causes of LCD display motion blur include: [0004] (1) Slow response time: The slow response time of liquid crystals will cause blurring of rapidly changing scenes. Studies have shown that this problem accounts for 30% of all causes of motion blur. The solution is to increase the response time of the liquid crystal or use overload processing in the display driver. [0005] (2) Retention effect: Different from the instantaneous light-emitting mechanism of traditional CRTs...

AI Technical Summary

Problems solved by technology

[0011] Among the modules required for the above-mentioned "moving image enhancement" processing, the inter-frame motion estimation module is the most complex to calculate, requires more software and hardware resources, and is not suitable for real-time implementation of embedded systems

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