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03/02/2022
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations
In this paper, we consider two challenging issues in reference-based sup...
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07/17/2018
Learning Generic Diffusion Processes for Image Restoration
Image restoration problems are typical ill-posed problems where the regu...
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07/30/2017
Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT
Compressive sensing (CS) has proved effective for tomographic reconstruc...
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02/24/2017
Speckle Reduction with Trained Nonlinear Diffusion Filtering
Speckle reduction is a prerequisite for many image processing tasks in s...
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02/24/2017
Learning Non-local Image Diffusion for Image Denoising
Image diffusion plays a fundamental role for the task of image denoising...
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09/21/2016
Image Denoising via Multi-scale Nonlinear Diffusion Models
Image denoising is a fundamental operation in image processing and holds...
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09/19/2016
Poisson Noise Reduction with Higher-order Natural Image Prior Model
Poisson denoising is an essential issue for various imaging applications...
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08/13/2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Discriminative model learning for image denoising has been recently attr...
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10/10/2015
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion
The degradation of the acquired signal by Poisson noise is a common prob...
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03/19/2015
On learning optimized reaction diffusion processes for effective image restoration
For several decades, image restoration remains an active research topic ...
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10/27/2014
Higher-order MRFs based image super resolution: why not MAP?
A trainable filter-based higher-order Markov Random Fields (MRFs) model ...
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04/21/2014
A higher-order MRF based variational model for multiplicative noise reduction
The Fields of Experts (FoE) image prior model, a filter-based higher-ord...
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04/18/2014
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
In this paper we study an algorithm for solving a minimization problem c...
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01/16/2014
A bi-level view of inpainting - based image compression
Inpainting based image compression approaches, especially linear and non...
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01/16/2014
Revisiting loss-specific training of filter-based MRFs for image restoration
It is now well known that Markov random fields (MRFs) are particularly e...
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01/16/2014
Learning ℓ_1-based analysis and synthesis sparsity priors using bi-level optimization
We consider the analysis operator and synthesis dictionary learning prob...
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01/13/2014
