计算机工程2012，Vol.38Issue(9)：226-227,247,3.DOI:10.3969/j.issn.1000-3428.2012.09.069
基于改进层式DCT的压缩感知图像处理
Compressed Sensing Image Processing Based on Improved Layered DCT
摘要
Abstract
In order to improve the quality of the compressed image, an compressed sensing method based on improved layered Discrete Cosine Transform(DCT) is proposed. It only measures the high-pass coefficients of the other layers, and preserves the top layer coefficients. For the reconstruction, high-pass coefficients can be recovered by the measurements. The image can be reconstructed by the inverse DCT transformation. Simulation results demonstrate that, at the same compression ratio, the peak signal to noise ratio of this method is higher than method based on layed DCT.关键词
压缩感知/随机测量/稀疏变换/改进层式离散余弦变换/图像编码Key words
compressed sensing/ random measurement/ sparse transformation/ improved layered Discrete Cosine Transform(DCT)/ image coding分类
信息技术与安全科学引用本文复制引用
尹晓慧,张宝菊,王为,雷晴..基于改进层式DCT的压缩感知图像处理[J].计算机工程,2012,38(9):226-227,247,3.基金项目
天津市自然科学基金资助项目(10JCYBJC00400) （10JCYBJC00400）
天津市高等学校科技发展基金资助项目(52J10013) （52J10013）
