research
∙
04/14/2022
Residual Swin Transformer Channel Attention Network for Image Demosaicing
Image demosaicing is problem of interpolating full- resolution color ima...
share
research
∙
03/03/2022
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging
Phase retrieval in optical imaging refers to the recovery of a complex s...
research
∙
09/24/2021
Learning-based Noise Component Map Estimation for Image Denoising
A problem of image denoising when images are corrupted by a non-stationa...
research
∙
03/02/2020
Flashlight CNN Image Denoising
This paper proposes a learning-based denoising method called FlashLight ...
research
∙
10/22/2019
The Practicality of Stochastic Optimization in Imaging Inverse Problems
In this work we investigate the practicality of stochastic gradient desc...
research
∙
10/04/2019
Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform
Broadband hyperspectral digital holography and Fourier transform spectro...
research
∙
03/06/2018
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
We introduce a paradigm for nonlocal sparsity reinforced deep convolutio...
research
∙
11/29/2017
Blind estimation of white Gaussian noise variance in highly textured images
In the paper, a new method of blind estimation of noise variance in a si...
research
∙
11/02/2017
Statistical evaluation of visual quality metrics for image denoising
This paper studies the problem of full reference visual quality assessme...
research
∙
11/01/2017