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07/05/2023
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
This paper presents a deep learning-based spectral demosaicing technique...
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05/06/2023
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising
Hyperspectral imaging (HI) has emerged as a powerful tool in diverse fie...
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03/23/2023
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
Hyperspectral imaging systems that use multispectral filter arrays (MSFA...
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03/23/2023
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
Pixel binning based Quad sensors have emerged as a promising solution to...
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04/27/2022
Low-rank Meets Sparseness: An Integrated Spatial-Spectral Total Variation Approach to Hyperspectral Denoising
Spatial-Spectral Total Variation (SSTV) can quantify local smoothness of...
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12/03/2020
Multi-mode Core Tensor Factorization based Low-Rankness and Its Applications to Tensor Completion
Low-rank tensor completion has been widely used in computer vision and m...
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05/30/2020
Hyperspectral Image Denoising via Global Spatial-Spectral Total Variation Regularized Nonconvex Local Low-Rank Tensor Approximation
Hyperspectral image (HSI) denoising aims to restore clean HSI from the n...
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05/28/2020
Enhanced nonconvex low-rank representation for tensor completion
Higher-order low-rank tensor arises in many data processing applications...
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05/08/2020
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Several bandwise total variation (TV) regularized low-rank (LR)-based mo...
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04/19/2020