Multispectral Image Noise Removal With Adaptive Loss and Multiple Image Priors Model
Multispectral image (MSI) denoising is a crucial preprocessing step for various subsequent image processing tasks, including classification, recognition, and unmixing. This article proposes a novel image denoising model that integrates both noise modeling and image prior knowledge modeling. Specific...
Main Authors: | Yang Chen, Wenfei Cao, Meiqiao Bi, Jing Yao, Danfeng Hong |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10154156/ |
Similar Items
-
Application of AP-MALDI Imaging Mass Microscope for the Rapid Mapping of Imipramine, Chloroquine, and Their Metabolites in the Kidney and Brain of Wild-Type Mice
by: Ariful Islam, et al.
Published: (2022-10-01) -
Hyperspectral and multispectral remote sensing image fusion using SwinGAN with joint adaptive spatial-spectral gradient loss function
by: Chunyu Zhu, et al.
Published: (2023-12-01) -
Fusion of External and Internal Prior Information for the Removal of Gaussian Noise in Images
by: Ali S. Awad
Published: (2020-10-01) -
Concordance in detection of microsatellite instability by PCR and NGS in routinely processed tumor specimens of several cancer types
by: Stephan Bartels, et al.
Published: (2023-08-01) -
Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Denoising
by: Jianlou Xu, et al.
Published: (2023-01-01)