现代电子技术2012，Vol.35Issue(8)：71-73,77,4.
小波分析压缩感知在图像复原中的应用研究
Application of wavelet analysis and compressed sensing in image restoration
摘要
Abstract
The compressed sensing theory is a novel data acquisition, coding and decoding theory under the condition that signal is sparse or compressible. The two-dimension wavelet decomposition, reconstruction algorithm and compressed sensing theory are introduced. It is pointed out that the theory of compressed sensing based on wavelet transform has the advantages of low computational complexity, simple structure and easy to realize in the processof image restoration. The experiment result means that the algorithm compared with other typical restoration algorithm, when the processing outputs are similar, takes up less observation data,storage space and calculation quantity. It can effectively improve both subjective and objective qualifies of the compressed images with low bit rate, and achieve better performance than other traditional algorithms.关键词
小波分析/图像复原/压缩感知/正交匹配追踪Key words
wavelet analysis/ image restoration/ compressed sensing/orthogonal matching tracking分类
信息技术与安全科学引用本文复制引用
马银平,金长江..小波分析压缩感知在图像复原中的应用研究[J].现代电子技术,2012,35(8):71-73,77,4.基金项目
江西省自然科学基金资助项目:基于自阴影处理的SFS三维重建(2010GZS0178) （2010GZS0178）
