… the optimization of L1 and the total variation (TV) norm [1,2,3, … used in this study is statistical
textural distinctiveness [15], … We discuss the effect of block size on the performance of the …

… the compressed sensing (CS) theory, the total variation (TV) … . compared the differences
between the traditional TV model … performance and compare it with the traditional TV algorithm, …

… based methods are based on statistical prior modeling in HSI, and thus possess good
performance … by the Total Variation (TV) regularization [20], and the related TV minimization …

… improved statistical iterative reconstruction scheme based on … ), which indicates the difference
between the reconstructed … a clear performance advantage over the compared methods. …

… to improve the compression performance. Signal encryption … A comparison between the
CS techniques in the literature is … When a deterministic sensing matrix satisfies Statistical RIP (…

… illustrate the efficiency of the TTV minimization model among state-of-… Compressed sensing
(CS) is an effective technique in signal … in many fields, including mathematics and statistics [9…

… Among the researches, the total variation (TV) method is especially … 11 to further illustrate
the performance differences between … if the difference between images is within the threshold. …

… to evaluate the performance of the RSSUnTV algorithm. … According to the theory of
compressed sensing and sparse … The HhX computes the differences between the components of …

… In this section, we will describe the performance of the … for total variation based compressive
sensing recovery,’’ in … Boyd, ‘‘Distributed optimization and statistical learning via the alternat…

… total variation (TV) regularization exhibit good performance. … Candes et al [18, 19] proposed
the compressed sensing (CS… From the absolute difference between the original image and …