A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation
Multi-modality image fusion applied to improve image quality has drawn great attention from researchers in recent years. However, noise is actually generated in images captured by different types of imaging sensors, which can seriously affect the performance of multi-modality image fusion. As the fu...
Main Authors: | Guanqiu Qi, Gang Hu, Neal Mazur, Huahua Liang, Matthew Haner |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/10/10/129 |
Similar Items
-
An Image Fusion Method Based on Sparse Representation and Sum Modified-Laplacian in NSCT Domain
by: Yuanyuan Li, et al.
Published: (2018-07-01) -
Non-Local SVD Denoising of MRI Based on Sparse Representations
by: Nallig Leal, et al.
Published: (2020-03-01) -
Image Denoising by Deep Convolution Based on Sparse Representation
by: Shengqin Bian, et al.
Published: (2023-05-01) -
Non-local clustering via sparse prior for sports image denoising
by: Ying Zhang
Published: (2022-01-01) -
Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising
by: Guanqun Ma, et al.
Published: (2019-01-01)