Image Compressed Sensing Based on Universal HMT of the Dual-tree Wavelets
基于双树小波通用隐马尔可夫树模型的图像压缩感知

The standard Compressed Sensing(CS) reconstructions of image exploit simply the sparse priors of the wavelet coefficients,ignoring the structural information of the wavelet coefficients.In this paper,the Hidden Markov Tree(HMT ) model is integrated in the compressed sensing,which has been found successful in capturing the key features of the joint probability density of the wavelet coefficients of real-world image.An optimization issue which is similar to the standard compressed sensing is derived from the ...