中南民族大学学报：自然科学版2011，Vol.30Issue(4)：65-69,5.
基于子带能量分布的图像自适应压缩采样方法
Image Adaptive Compressive Sampling Based on Subband Energy Distribution
摘要
Abstract
Considering that human eyes are more sensitive to low frequency components than to high frequency ones, a novel adaptive compressive sampling method for image representation is proposed based on subband energy distribution characteristics. Each subband＇s energy is obtained by using block DCT, which is used to modify the measurement procedure, and consequently achieve the compressive image projection with the differentiated subband coefficients. Comparison results with the similar work demonstrate that the proposed adaptive weighted compressive sampling method could not only efficiently reduce the computational complexity, but also considerably decrease the measurement rate and/or enhance the recovery image quality in both PSNR and subjective visual quality.关键词
压缩感知/自适应加权采样/人眼视觉系统/子带能量Key words
compressive sensing/adaptive weighted sampling/human visual system/subband energy分类
信息技术与安全科学引用本文复制引用
熊承义,程赟,周城..基于子带能量分布的图像自适应压缩采样方法[J].中南民族大学学报：自然科学版,2011,30(4):65-69,5.基金项目
基金项目国家自然科学基金资助项目 （）
湖北自然科学基金资助项目 （）
