Quality-self-adapting wireless video coding method

Abstract

The invention discloses a quality-self-adapting wireless video coding method. Firstly, the dynamic texture synthesis method is adopted, a virtual reconstruction frame of a frame to be coded is constructed through a reconstruction frame of a coded image, then with the SSIM being used as the index, a threshold value is set to determine low-quality macro blocks in the virtual reconstruction frame, and finally, coding parameters of the low-quality macro blocks are regulated, and the macro blocks are coded more finely in the coding process, so that complex textures and marginal area macro blocks are better processed, and the user experience quality of the whole image is improved.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows for improved compression efficiency when transmitting videos over wireless networks due to its ability to selectively compress high-quality content without affecting other parts of that network's transmission bandwidth or processing resources. It also improves upon how well it works by measuring similarities between different frames before decoding them. Overall, this new approach helps optimize data communication across multiple devices while maintaining good image experiences.

Problems solved by technology

The technical problem addressed by this patented technology relates to improving the compression efficiency (bit rates) and accuracy of videos transmitted over wireless communication channels while reducing their overall size without compromising picture quality due to complicated background feature changes caused by complex scenes like images containing sharp edges.

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