高技术通讯2013，Vol.23Issue(1)：35-41,7.DOI:10.3772/j.issn.1002-0470.2013.01.006
基于混合采样的图像分块压缩感知方法
A method for block compressed sensing of images based on hybrid sampling
摘要
Abstract
The compressed sensing of images was studied, and a new method for block compressed sensing ( BCS) of images based on Hybrid sampling, called the HBCS for short, was proposed to improve the performance of image reconstruction. The method uses a hybrid sampling matrix random sampling ( RS) and low-resolution sampling (LRS) to complementally measure the image information data with the high sensing efficiency. The hybrid sampling matrix with a simple structure was proved theoretically to be incoherent with most fixed sparsity bases. And the block strategy of the method ensures that the complexity of measurement and reconstruction processes does not change with the image size, so the method is simple and easy to implement, and is suitable for large-scale applications. The experimental results show that the proposed method can achieve much better results than many state-of-the-art algorithms in terms of both PSNR and visual perception when using the total variation (TV) reconstruction algorithm.关键词
信息采样/压缩感知(CS)/混合采样/分块策略/总变差(TV)算法Key words
information sampling/ compressed sensing (CS) / hybrid sampling/ block strategy/ total variation (TV) algorithm引用本文复制引用
吕沛,周仁魁,刘海英,何俊华..基于混合采样的图像分块压缩感知方法[J].高技术通讯,2013,23(1):35-41,7.基金项目
国家自然科学基金(61040034,61072065,61007011)和111基地(B08038)资助项目. （61040034,61072065,61007011）
