计算机科学 ›› 2020, Vol. 47 ›› Issue (12): 190-196.doi: 10.11896/jsjkx.200800197
田伟1, 刘浩1,2, 陈根龙1, 宫晓蕙1
TIAN Wei1, LIU Hao1,2, CHEN Gen-long1, GONG Xiao-hui1
摘要: 相比传统的图像信号处理方法分块压缩感知能够以较低的复杂度实现图像信号的采集与编码这为功耗受限的无线传感设备提供了一种较为理想的选择方案.针对传感图像的分块压缩感知提出了一种结合螺旋顺序的交叉子集导引自适应观测方法通过为不同区域分配与其内容大小相适应的采样率并且融入观测块预测可以在提高图像重构质量的同时提升观测块的编码效率.所提方法以一幅图像的中心块为起点采用螺旋式扫描顺序将图像平均分成内区、中区、外区3个区域将每个区域每隔若干块放入交叉子集3个区域的交叉子集块以基本采样率进行采样观测根据得到的观测数据结果按权重自适应分配不同的采样率给3个区域的剩余子集剩余子集分别采用给定的自适应采样率进行采样观测.此外对于每一个剩余子集中的观测块所提方法自适应地扩大该观测块的周围邻域来寻找最佳预测块对预测差值进行标量量化.实验结果表明与目前比较流行的观测方法相比所提方法不仅可以在主观上改善图像重构质量还可以在客观上将图像重构的平均率失真性能至少提升3.2%.
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