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07/12/2021
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery
State-of-the-art image denoisers exploit various types of deep neural ne...
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05/16/2020
The Power of Triply Complementary Priors for Image Compressive Sensing
Recent works that utilized deep models have achieved superior results in...
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07/06/2018
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising
Inspired by the recent advances of Generative Adversarial Networks (GAN)...
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03/22/2018
Group Sparsity Residual with Non-Local Samples for Image Denoising
Inspired by group-based sparse coding, recently proposed group sparsity ...
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09/12/2017
Bridge the Gap Between Group Sparse Coding and Rank Minimization via Adaptive Dictionary Learning
Both sparse coding and rank minimization have led to great successes in ...
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04/05/2017
Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising
Nonlocal image representation or group sparsity has attracted considerab...
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03/01/2017
Group Sparsity Residual Constraint for Image Denoising
Group-based sparse representation has shown great potential in image den...
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01/03/2017
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Nonlocal image representation has been successfully used in many image-r...
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11/28/2016
Analyzing the group sparsity based on the rank minimization methods
Sparse coding has achieved a great success in various image processing s...
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09/12/2016
Image denoising via group sparsity residual constraint
Group sparsity has shown great potential in various low-level vision tas...
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08/16/2016
