计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 277-282.doi: 10.11896/j.issn.1002-137X.2018.08.050
杜秀丽, 张薇, 顾斌斌, 陈波, 邱少明
DU Xiu-li, ZHANG Wei, GU Bin-bin, CHEN Bo, QIU Shao-ming
摘要： 分块压缩感知的提出很好地弥补了大尺寸图像占用资源多、重构耗时长等不足,但重构后的图像存在明显的块效应。针对现有图像纹理复杂度分析不够准确,导致自适应采样率分配后块效应降低不理想的问题,提出了一种基于灰度共生矩阵的图像自适应分块压缩感知方法。该方法通过共生矩阵分析图像的纹理特性,自适应分配采样率,在总采样率不变的前提下使纹理复杂度高的子块获得较高的采样率,纹理复杂度低的子块获得较低的采样率,并用SAMP(Sparsity Adaptive Matching Pursuit)算法实现重构。仿真结果显示,所提方法能够有效地解决块效应问题,尤其对于局部图像而言,重构图像的画质得到了明显改善。
中图分类号:
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