Weighted Nuclear Norm Minimization Image Denoising Method Based on Noise Variance Estimation

2019 ◽  
pp. 266-272
Author(s):  
Shujuan Wang ◽  
Ying Liu ◽  
Hong Liang ◽  
Yanwei Wang
Keyword(s):  
Image Denoising ◽  
Variance Estimation ◽  
Nuclear Norm ◽  
Noise Variance ◽  
Denoising Method ◽  
Nuclear Norm Minimization ◽  
Norm Minimization ◽  
Weighted Nuclear Norm Minimization

Image Denoising Using Weighted Nuclear Norm Minimization with Preserving Local Structure

2019 ◽  
Vol 56 (16) ◽  
pp. 161006
Author(s):  
吕俊瑞 Junrui Lü ◽  
罗学刚 Xuegang Luo ◽  
岐世峰 Shifeng Qi ◽  
彭真明 Zhenming Peng
Keyword(s):  
Image Denoising ◽  
Local Structure ◽  
Nuclear Norm ◽  
Nuclear Norm Minimization ◽  
Norm Minimization ◽  
Weighted Nuclear Norm Minimization

Multi-weighted nuclear norm minimization for real world image denoising

Optik ◽  
2020 ◽  
Vol 206 ◽  
pp. 164214
Author(s):  
Xue Guo ◽  
Feng Liu ◽  
Jie Yao ◽  
Yiting Chen ◽  
Xuetao Tian
Keyword(s):  
Image Denoising ◽  
Real World ◽  
Nuclear Norm ◽  
Nuclear Norm Minimization ◽  
Norm Minimization ◽  
Weighted Nuclear Norm Minimization ◽  
World Image

Image denoising using weighted nuclear norm minimization with multiple strategies

2017 ◽  
Vol 135 ◽  
pp. 239-252 ◽  
Author(s):  
Xiaohua Liu ◽  
Xiao-Yuan Jing ◽  
Guijin Tang ◽  
Fei Wu ◽  
Qi Ge
Keyword(s):  
Image Denoising ◽  
Nuclear Norm ◽  
Nuclear Norm Minimization ◽  
Multiple Strategies ◽  
Norm Minimization ◽  
Weighted Nuclear Norm Minimization

scholarly journals Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 655
Author(s):  
Run Tian ◽  
Guiling Sun ◽  
Xiaochao Liu ◽  
Bowen Zheng
Keyword(s):  
Edge Detection ◽  
Image Denoising ◽  
Detection Algorithm ◽  
Nuclear Norm ◽  
Nuclear Norm Minimization ◽  
Processing Technologies ◽  
Sobel Operator ◽  
Norm Minimization ◽  
Sobel Edge Detection ◽  
Weighted Nuclear Norm Minimization

As a classic and effective edge detection operator, the Sobel operator has been widely used in image segmentation and other image processing technologies. This operator has obvious advantages in the speed of extracting the edge of images, but it also has the disadvantage that the detection effect is not ideal when the image contains noise. In order to solve this problem, this paper proposes an optimized scheme for edge detection. In this scheme, the weighted nuclear norm minimization (WNNM) image denoising algorithm is combined with the Sobel edge detection algorithm, and the excellent denoising performance of the WNNM algorithm in a noise environment is utilized to improve the anti-noise performance of the Sobel operator. The experimental results show that the optimization algorithm can obtain better detection results when processing noisy images, and the advantages of the algorithm become more obvious with the increase of noise intensity.

scholarly journals An Improved Weighted Nuclear Norm Minimization Method for Image Denoising

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 97919-97927
Author(s):  
Hyoseon Yang ◽  
Yunjin Park ◽  
Jungho Yoon ◽  
Byeongseon Jeong
Keyword(s):  
Image Denoising ◽  
Nuclear Norm ◽  
Minimization Method ◽  
Nuclear Norm Minimization ◽  
Norm Minimization ◽  
Weighted Nuclear Norm Minimization
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