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A Novel Video Codec Scheme Based on Compressive Sensing

机译:基于压缩感知的视频编解码新方案

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摘要

In order to solve the problem of traditional video codec high sampling rate, a novel video codec scheme is proposed based on compressive sensing. At the encoding process, the frames in video sequence are divided into groups, in each group include intra and inter frames, random measurement matrix is constructed to measure different frames. Then the measurement values are quantized, the quantization codes are transmitted. At decoding process, each frame is reconstructed using the StOMP algorithm. Experimental results show that the proposed method is superiority over the tradition video codec with keeping the same quality of the video, and it can reduce quantization number significantly, realize easily. The codec scheme is more efficiently for non-rapid moving video sequence, the PSNR is above 45 dB.
机译:为了解决传统视频编解码器采样率高的问题,提出了一种基于压缩感知的视频编解码方案。在编码过程中,将视频序列中的帧分为几组,每组包括帧内和帧间,构造随机测量矩阵以测量不同的帧。然后测量值被量化,量化码被发送。在解码过程中,使用StOMP算法重建每个帧。实验结果表明,与传统的视频编解码器相比,该方法在保持视频质量不变的情况下具有优势,并且可以大大减少量化数量,易于实现。对于非快速运动视频序列,编解码器方案效率更高,PSNR高于45 dB。

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