scholarly journals Color Image Deblurring with Impulsive Noise

2005 ◽  
pp. 49-60 ◽  
Author(s):  
Leah Bar ◽  
Alexander Brook ◽  
Nir Sochen ◽  
Nahum Kiryati
Keyword(s):  
Color Image ◽  
Impulsive Noise ◽  
Image Deblurring

scholarly journals Decision-Based Marginal Total Variation Diffusion for Impulsive Noise Removal in Color Images

2017 ◽  
Vol 2017 ◽  
pp. 1-18
Author(s):  
Hongyao Deng ◽  
Qingxin Zhu ◽  
Xiuli Song
Keyword(s):  
Total Variation ◽  
Color Image ◽  
Impulsive Noise ◽  
Median Filter ◽  
Noise Removal ◽  
Color Images ◽  
Natural Image ◽  
Noise Characteristics ◽  
Switching Median Filter ◽  
Vector Median

Impulsive noise removal for color images usually employs vector median filter, switching median filter, the total variation L1 method, and variants. These approaches, however, often introduce excessive smoothing and can result in extensive visual feature blurring and thus are suitable only for images with low density noise. A marginal method to reduce impulsive noise is proposed in this paper that overcomes this limitation that is based on the following facts: (i) each channel in a color image is contaminated independently, and contaminative components are independent and identically distributed; (ii) in a natural image the gradients of different components of a pixel are similar to one another. This method divides components into different categories based on different noise characteristics. If an image is corrupted by salt-and-pepper noise, the components are divided into the corrupted and the noise-free components; if the image is corrupted by random-valued impulses, the components are divided into the corrupted, noise-free, and the possibly corrupted components. Components falling into different categories are processed differently. If a component is corrupted, modified total variation diffusion is applied; if it is possibly corrupted, scaled total variation diffusion is applied; otherwise, the component is left unchanged. Simulation results demonstrate its effectiveness.

Quaternion-based color image filtering for impulsive noise suppression

2010 ◽  
Vol 19 (4) ◽  
pp. 043003 ◽  
Author(s):  
Lianghai Jin ◽  
Hong Liu ◽  
Xiangyang Xu ◽  
Enmin Song
Keyword(s):  
Noise Suppression ◽  
Color Image ◽  
Impulsive Noise ◽  
Image Filtering ◽  
Impulsive Noise Suppression ◽  
Color Image Filtering

Hybrid regularization image deblurring in the presence of impulsive noise

2013 ◽  
Vol 24 (8) ◽  
pp. 1349-1359 ◽  
Author(s):  
Fenge Chen ◽  
Yuling Jiao ◽  
Guorui Ma ◽  
Qianqing Qin
Keyword(s):  
Impulsive Noise ◽  
Image Deblurring

Color image deblurring and denoising by using bilateral sharpening

2021 ◽  
Author(s):  
P. Gonzalez ◽  
A. Ubilla ◽  
F. Tirado ◽  
C. Tauber
Keyword(s):  
Color Image ◽  
Image Deblurring ◽  
Deblurring And Denoising

A fast impulsive noise color image filter using fuzzy metrics

2005 ◽  
Vol 11 (5-6) ◽  
pp. 417-428 ◽  
Author(s):  
Samuel Morillas ◽  
Valentín Gregori ◽  
Guillermo Peris-Fajarnés ◽  
Pedro Latorre
Keyword(s):  
Color Image ◽  
Impulsive Noise ◽  
Image Filter

A TVSCAD approach for image deblurring with impulsive noise

2017 ◽  
Vol 33 (12) ◽  
pp. 125008 ◽  
Author(s):  
Guoyong Gu ◽  
Suhong Jiang ◽  
Junfeng Yang
Keyword(s):  
Impulsive Noise ◽  
Image Deblurring

scholarly journals Image Deblurring in the Presence of Impulsive Noise

2006 ◽  
Vol 70 (3) ◽  
pp. 279-298 ◽  
Author(s):  
Leah Bar ◽  
Nahum Kiryati ◽  
Nir Sochen
Keyword(s):  
Impulsive Noise ◽  
Image Deblurring
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