Q Yuan, L Zhang, H Shen - IEEE Transactions on Geoscience …, 2012 - ieeexplore.ieee.org
The amount of noise included in a hyperspectral image limits its application and has a negative impact on hyperspectral image classification, unmixing, target detection, and so on …
F Wen, L Chu, P Liu, RC Qiu - IEEE Access, 2018 - ieeexplore.ieee.org
In the past decade, sparse and low-rank recovery has drawn much attention in many areas such as signal/image processing, statistics, bioinformatics, and machine learning. To …
Variational models with \ell_1-norm based regularization, in particular total variation (TV) and its variants, have long been known to offer superior image restoration quality, but …
J Yang, Y Zhang, W Yin - SIAM Journal on Scientific Computing, 2009 - SIAM
We extend the alternating minimization algorithm recently proposed in Y. Wang, J. Yang, W. Yin, and Y. Zhang, SIAM J. Imag. Sci., 1 (2008), pp. 248–272; J. Yang, W. Yin, Y. Zhang, and …
M Nikolova, MK Ng, CP Tam - IEEE Transactions on Image …, 2010 - ieeexplore.ieee.org
Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the …
The total variation (TV) model is attractive in that it is able to preserve sharp attributes in images. However, the restored images from TV-based methods do not usually stay in a …
F Wen, P Liu, Y Liu, RC Qiu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper addresses the issue of robust sparse recovery in compressive sensing (CS) in the presence of impulsive measurement noise. Recently, robust data-fitting models, such as …
The restoration of blurred images corrupted with impulse noise is a difficult problem which has been considered in a series of recent papers. These papers tackle the problem by using …
In this paper, we propose a two-phase approach to restore images corrupted by blur and impulse noise. In the first phase, we identify the outlier candidates—the pixels that are likely …