Mixed Noise Removal Using Adaptive Median Based Non-Local Rank Minimization

Mixed Noise Removal Using Adaptive Median Based Non-Local Rank Minimization

In this paper, we present an innovative mechanism for image restoration problems in which the image is corrupted by a mixture of additive white Gaussian noise (AWGN) and impulse noise (IN). Mixed noise removal is much more challenging problem in contrast to the problems where either only one type of...

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Bibliographic Details
Main Authors: Dai-Gyoung Kim, Mukhtar Hussain, Muhammad Adnan, Muhammad Asif Farooq, Zahid Hussain Shamsi, Asif Mushtaq
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Image denoising
low rank approximation
mixed noise
nuclear norm
rank minimization
similarity measure
Online Access:https://ieeexplore.ieee.org/document/9311222/

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