西北师范大学学报（自然科学版）2016，Vol.52Issue(6)：51-55,5.DOI:10.16783/j.cnki.nwnuz.2016.06.011
基于分块的压缩重建方法
Compression reconstruction methods based on block
摘要
Abstract
Image compression and reconstruction are a hot Copic in image processing.This paper presents a new reconstruction method based on block.The new method firstly divides the image into the same blocks according to a certain rule. Then it applies the SL0 algorithm to every block, which is reconstructed successively.Finally,we scrape up the whole from blocks.The size of the block can affect the time and quality of the reconstruction image.If the size of the block is too small that blocking artifacts do harm to the quality of the reconstruction image.In this paper,the Wiener filtering is employed to improve the quality of the reconstruction image which has many small blocks.The simulation results show that the method has the advantages of the reconstruction time and the compression quality.关键词
SL0压缩/块压缩/维纳滤波Key words
SL0 compression method/block compressed sensing/Wiener filtering分类
信息技术与安全科学引用本文复制引用
肖驰,田小霞..基于分块的压缩重建方法[J].西北师范大学学报（自然科学版）,2016,52(6):51-55,5.基金项目
韩山师范学院学科建设专项基金(2013LYM0055) （2013LYM0055）
潮州市科技引导计划项目(2012S13) （2012S13）
