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Block compressed sensing of video based on unstable sampling rates and multihypothesis predictions

机译:基于不稳定的采样率和多假设预测的视频块压缩感知

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Existing divide block video compression perception is usually used the same measurement matrix measure for all image block, the average distribution of sampling ratemeasurementmethod ignores at different areas of the structure complexity and change degree different of the facts in the video. In order to solve this problem, this paper proposed an adaptive allocation sampling rate of the unstable sampling rate compressionmethod by the distribution characteristics of the video inter-frame correlation. Categorizing the size of the image block according to the inter-frame correlation and assign different sampling rates, refactoring process adopt the unstable sampling rate multihypothesis predictions algorithm to make full use of the inter-frame correlation. Experimental results show that this paper???s algorithmcan reconstruct the high quality video images under low sampling rate, and the unstable sampling ratemeasurementmethod is helpful to improve the refactoring quality of sports areas.
机译:现有的分割块视频压缩感知通常对所有图像块使用相同的测量矩阵度量,采样率测量方法的平均分布忽略了视频中结构复杂度和事实变化程度不同的不同区域。为了解决这个问题,本文提出了一种基于视频帧间相关分布特性的自适应分配采样率的不稳定采样率压缩方法。根据帧间相关性对图像块的大小进行分类,并分配不同的采样率,重构过程采用不稳定的采样率多假设预测算法来充分利用帧间相关性。实验结果表明,该算法可以在低采样率下重建高质量的视频图像,而不稳定采样率的测量方法有助于提高运动区的重构质量。

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