Image resolution is an important criterion to measure the quality of an image. High-resolution
images are a prerequisite for professionals to analyze problems and make accurate …

… ,and the total variation (TV) regularization, which describes the … a novel compound regularized
compressed sensing image … compressed sensing reconstruction method has a better …

… Image compressive sensing reconstruction via total variation and … images, an improved
reconstruction algorithm combining the Total Variation (TV) with adaptive low-rank regularization …

… 基于非局部正则化的全变分(Total Variation based on Nonlocal Regularization, TVNR) 算法,增强
了图像的… Improved total variation based image compressive sensing recovery by nonlocal …

… Improved total variation based image compressive sensing recovery by nonlocal regularization[C].
2013 IEEE International Symposium on Circuits and Systems, Beijing, China, 2013: …

… Wavelet filtering of smoother signals leads to sparser representations of MR images, thus
improving the reconstruction. When compared with conventional shift-invariant wavelets and …

… is built with constraints of the improved TV and the nonlocal low rank model, and a non-…
compressive sensing via reweighted total variation and weighted nuclear norm regularization…

… , BCS-TVIT uses the minimization l0 norm and total variation … Block compressive sensing of
image and video with nonlocal … algorithm based on improved compressed sensing to repair …

… with sparse nonlocal regularization[J]. IEEE Transactions on … -impulse noise image restoration
via total variation[C]. 2012 … method of infrared image based on compressive sampling[C]. …

… based on total variation (TV) and nonlocal low-rank regularization (NLR-CS) to better … 低
秩正则化压缩感知重构算法(nonlocal low-rank compressive sensing, NLR-CS), 针对样本块寻找…