A novel multi-modality image fusion method based on image decomposition and sparse representation
Z Zhu, H Yin, Y Chai, Y Li, G Qi - Information Sciences, 2018 - Elsevier
Multi-modality image fusion is an effective technique to fuse the complementary information
from multi-modality images into an integrated image. The additional information can not only …
from multi-modality images into an integrated image. The additional information can not only …
Applications of fractional calculus in computer vision: a survey
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
integer order. For a very long time, it was considered as a topic of mere theoretical interest …
Proximal splitting methods in signal processing
PL Combettes, JC Pesquet - Fixed-point algorithms for inverse problems in …, 2011 - Springer
The proximity operator of a convex function is a natural extension of the notion of a
projection operator onto a convex set. This tool, which plays a central role in the analysis …
projection operator onto a convex set. This tool, which plays a central role in the analysis …
[图书][B] Linear and nonlinear inverse problems with practical applications
JL Mueller, S Siltanen - 2012 - SIAM
Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …
an area of contemporary mathematics, the field of inverse problems is strongly driven by …
Signal recovery by proximal forward-backward splitting
PL Combettes, VR Wajs - Multiscale modeling & simulation, 2005 - SIAM
We show that various inverse problems in signal recovery can be formulated as the generic
problem of minimizing the sum of two convex functions with certain regularity properties …
problem of minimizing the sum of two convex functions with certain regularity properties …
Image Decomposition and Restoration Using Total Variation Minimization and the H1
In this paper, we propose a new model for image restoration and image decomposition into
cartoon and texture, based on the total variation minimization of Rudin, Osher, and Fatemi …
cartoon and texture, based on the total variation minimization of Rudin, Osher, and Fatemi …
Research on image inpainting algorithm of improved total variation minimization method
Y Chen, H Zhang, L Liu, J Tao, Q Zhang… - Journal of Ambient …, 2023 - Springer
In order to solve the issue mismatching and structure disconnecting in exemplar-based
image inpainting, an image completion algorithm based on improved total variation …
image inpainting, an image completion algorithm based on improved total variation …
Variational pansharpening by exploiting cartoon-texture similarities
Pansharpening aims to fuse a multispectral (MS) image with low spatial resolution and a
panchromatic (PAN) image with a high-spatial resolution to produce an image with both high …
panchromatic (PAN) image with a high-spatial resolution to produce an image with both high …
Resonance-based signal decomposition: A new sparsity-enabled signal analysis method
IW Selesnick - Signal Processing, 2011 - Elsevier
Numerous signals arising from physiological and physical processes, in addition to being
non-stationary, are moreover a mixture of sustained oscillations and non-oscillatory …
non-stationary, are moreover a mixture of sustained oscillations and non-oscillatory …
Learning invariant representation for unsupervised image restoration
W Du, H Chen, H Yang - … of the ieee/cvf conference on …, 2020 - openaccess.thecvf.com
Recently, cross domain transfer has been applied for unsupervised image restoration tasks.
However, directly applying existing frameworks would lead to domain-shift problems in …
However, directly applying existing frameworks would lead to domain-shift problems in …