Video Compression based on Singular Value Decomposition and Distributed Video Coding
نویسندگان
چکیده
Video compression with improved visual quality and with temporal redundancy reduction is a challenging task. Video coding standards such as H.261/3, MPEG-1/2/4 and H.264/AVC use motion estimation (ME) scheme to remove temporal redundancy which significantly improves the coding efficiency. However, the peak signal-to-noise ratio is less. A new video coding method is proposed based on Singular Value Decomposition (SVD) and Distributed Video Coding (DVC). The proposed scheme provides high peak signalto-noise ratio(PSNR) with better visual quality and high compression efficiency compared to existing video codec’s. The comparison of the proposed SVD coding plus distributed video coding scheme with the existing codec’s shows its advantages and potential in applications. This method of video coding is suitable for scenarios such as mobile video phone, video surveillance systems, wireless video cameras, and disposable video cameras etc where high compression with enhanced visual quality are required.
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تاریخ انتشار 2013