Interframe error code masking method based on fuzzy classification

Abstract

The invention relates to an interframe error code masking method based on fuzzy classification, which belongs to the technical field of video communication based on macroblock coding. The method mainly comprises the following three steps of: 1. establishing a cache region of a decoded frame, carrying out fuzzy characteristic value extraction on the decoded frame and classifying a trained fuzzy classifier; 2. carrying out interframe error code masking on a lost macroblock of the current decoded frame by utilizing all available decoded frames judged by the fuzzy classifier in the cache region of the decoded frame; and 3. fitting data obtained after all available rebuilding frames carry out error code masking on the current error code frame to obtain a final error code masking result.

Description

technical field [0001] The invention relates to a video signal post-processing recovery method in the case of code errors in visual communication, and belongs to the technical field of video communication based on macroblock coding. Background technique [0002] Video communication is one of the main application directions of data communication. Video transmission has been used more and more widely, such as videophone on public telephone network, video communication on mobile communication network, video stream transmission on Internet, etc. These networks are either a communication environment where bit errors are prone to occur, or a communication environment without Quality of Service (QoS, Quality of Service) guarantee. In these communication networks, due to the requirements of real-time communication, or due to the limited bandwidth of the channel, or due to the different characteristics of the channel, the ability of forward error correction coding (FEC, Forward Erro...

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Problems solved by technology

In these communication networks, due to the requirements of real-time communication, or due to the limited bandwidth of the channel, or due to the different characteristics of the channel, the ability of forward error correction coding (FEC, Forward Error Correction) is often limited, and it is more difficult to use automatic request retransmission (ARQ, Automatic Repeat Request) to improve transmission quality

Although there are many methods for improving the QoS of video transmission recently, and many of them can indeed significantly overcome the impact of bit errors (packet loss) and improve image quality, these measures cannot guarantee complete correction of transmission errors. The receiving end will inevitably receive a certain amount of bit errors or cause the loss of data packets (Packets), so that the quality of the decoded image is degraded or severely degraded, and even imaging cannot be performed.

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