Salt‐and‐pepper denoising method for colour images based on tensor low‐rank prior and implicit regularization

Salt‐and‐pepper denoising method for colour images based on tensor low‐rank prior and implicit regularization

Abstract Most of the information obtained by humans comes from colour images. However, salt‐and‐pepper noise (SPN) during signal acquisition, encoding, transmission, and decoding easily interferes with the quality of colour images. Most existing SPN denoising methods decompose a colour image into th...

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Bibliographic Details
Main Authors: Jun Zhang, Zhao‐yang Li, Ling‐zhi Wang, Ying‐pin Chen
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:IET Image Processing
Subjects:
data‐driven
FFDNet
model‐driven
parallel matrix factorization
salt and pepper denoising
Online Access:https://doi.org/10.1049/ipr2.12680

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