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一种自适应采样率视频压缩感知方案
引用本文:左觅文,常侃,施静兰,覃团发.一种自适应采样率视频压缩感知方案[J].电视技术,2015,39(2).
作者姓名:左觅文  常侃  施静兰  覃团发
作者单位:广西大学计算机与电子信息学院,广西南宁,530004
基金项目:国家自然科学基金资助项目;广西自然科学基金资助项目;广西教育厅科学研究项目
摘    要:为了进一步提高视频压缩感知方案的重构图像质量,提出了一种新的自适应采样方案.在该方案中,根据不同图像块的稀疏度自适应分配采样率.在对各图像块分类判决时,首先判断图像块在离散余弦变换域的稀疏度,其次结合该图像块与其参考帧之间的时域相关性,确定图像块的分类.实验结果表明,与现有的自适应采样率分配方案相比,该算法可获得0.5 dB左右的峰值信噪比增益.

关 键 词:视频图像处理  压缩感知  自适应采样率  稀疏度
收稿时间:3/2/2014 12:00:00 AM
修稿时间:3/2/2014 12:00:00 AM

Adaptive Rate Compressed Video Sensing Scheme
zuo miwen,chang kan,shi jinglan and qin tuanfa.Adaptive Rate Compressed Video Sensing Scheme[J].Tv Engineering,2015,39(2).
Authors:zuo miwen  chang kan  shi jinglan and qin tuanfa
Affiliation:School of Computer and Electronic Information, Guangxi University,School of Computer and Electronic Information, Guangxi University,School of Computer and Electronic Information, Guangxi University,School of Computer and Electronic Information, Guangxi University
Abstract:To improve the performance of compressed video sensing (CVS), in this paper a new adaptive sampling rate scheme is proposed. In such a scheme, the sampling rate is allocated according to the sparsity of each image block. Firstly, the sparsity in discrete cosine transform (DCT) domain for each block is estimated. Then, the classification of image block is determined according to both temporal correlation and spatial sparsity. Experimental results show that compared with the existing adaptive rate CVS methods, our proposed one can get about 0.5dB Peak Signal to Noise Ratio (PSNR) increment.
Keywords:video image processing  compressed sensing  adaptive sampling rate  sparsity
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