CAJ | 학술논문

现有的分块视频压缩感知通常对所有图像块均采用相同的测量矩阵进行测量,这种平均分配采样率的测量方式忽略了视频中不同区域的结构复杂度和变化程度不同的事实.针对这一问题,该文根据视频帧间相关性的分布特点提出了一种自适应分配采样率的变采样率压缩感知方法.将图像块按照帧间相关性的大小分类并分配不同的采样率,重构过程采用变采样率多假设预测算法以充分利用帧间相关性.实验结果表明该文算法能够在低采样率下重构出高质量的视频图像,而且这种变采样率测量的方式有利于提高运动剧烈区域的重构质量.
현유적분괴시빈압축감지통상대소유도상괴균채용상동적측량구진진행측량,저충평균분배채양솔적측량방식홀략료시빈중불동구역적결구복잡도화변화정도불동적사실.침대저일문제,해문근거시빈정간상관성적분포특점제출료일충자괄응분배채양솔적변채양솔압축감지방법.장도상괴안조정간상관성적대소분류병분배불동적채양솔,중구과정채용변채양솔다가설예측산법이충분이용정간상관성.실험결과표명해문산법능구재저채양솔하중구출고질량적시빈도상,이차저충변채양솔측량적방식유리우제고운동극렬구역적중구질량.
For most of those existing block-based compressed sensing of video, the same measurement matrix is usually utilized for all blocks, which underestimates the fact that the structural complexity and the movement varies from different regions. To address this issue, a novel block-based adaptive compressde sensing algorithm with variable sampling rate is proposed according to the distribution characteristics of the correlations between neighboring frames. It classifies blocks into different types depending on their inter-frame correlation, and adjusts the sampling rate accordingly. Multihypothesis predicting algorithm is used to reconstruct the videos to make full use of the inter-frame correlation. The experiment showes that the proposed algorithm reduces the number of sampled measurements while still improving the quality of the reconstructed frames. Also, with the variable sampling rate method, a higher reconstruction quality can be achieved for the regions containing relatively fast movement.