A New Detector for Impulse Noise Removal

2013 ◽  
Vol 779-780 ◽  
pp. 1797-1800
Author(s):  
Tian Shou Liang ◽  
De Jian Zhou
Keyword(s):  
Impulse Noise ◽  
Noise Removal ◽  
Gray Level ◽  
Impulse Noise Removal ◽  
Noise Filter ◽  
Simulation Results ◽  
Gray Level Images

This paper proposes a new detector for impulse noise filter on switch scheme. We construct the detector by using two kind of information: the closeness and volatility of intensities of local pixels. The simulation results of noise detecting with gray level images show that the proposed detector has a better performance than other detectors with high correct rate and low misjudgment for impulse noise.

scholarly journals A Modified Iterative Alternating Direction Minimization Algorithm for Impulse Noise Removal in Images

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Di Guo ◽  
Xiaobo Qu ◽  
Meng Wu ◽  
Keshou Wu
Keyword(s):  
Impulse Noise ◽  
Noise Removal ◽  
Nonlocal Operator ◽  
Salt And Pepper Noise ◽  
Self Similarity ◽  
Impulse Noise Removal ◽  
Alternating Direction ◽  
Continuation Algorithm ◽  
Simulation Results ◽  
Salt And Pepper

Images are often corrupted by impulse noise. In this paper, an alternating direction minimization with continuation algorithm is modified and iteratively used to remove the impulse noise in images by exploring its self-similarity. A patch-based nonlocal operator and sparse representation are married in thel1-l1optimization model to be solved. Simulation results demonstrate that the proposed algorithm outperforms typical denoising methods in terms of preserving edges and textures for both salt-and-pepper noise and random-valued impulse noise. It can be also applied to suppress impulse noise-like artifacts in real mural images.

Impulse Noise Removal Using Adaptive Radial Basis Function Interpolation

2016 ◽  
Vol 36 (3) ◽  
pp. 1192-1223 ◽  
Author(s):  
T. Veerakumar ◽  
Ravi Prasad K. Jagannath ◽  
Badri Narayan Subudhi ◽  
S. Esakkirajan
Keyword(s):  
Radial Basis Function ◽  
Basis Function ◽  
Impulse Noise ◽  
Noise Removal ◽  
Radial Basis Function Interpolation ◽  
Impulse Noise Removal ◽  
Radial Basis
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