DocumentCode :
118797
Title :
Random-valued impulse noise removal from images: K-means and luo-statistics based detector and nonlocal means based estimator
Author :
Waqas, Muhammad ; Javed, Syed Gibran ; Khan, Ajmal
Author_Institution :
Dept. of Electr. Eng., Pakistan Inst. of Eng. & Appl. Sci., Nilore, Pakistan
fYear :
2014
fDate :
14-18 Jan. 2014
Firstpage :
130
Lastpage :
135
Abstract :
Impulse noise detection is the key issue, while removing random-valued impulse noise from digital images. In this paper, we present a new impulse detection algorithm based on combination of Luo-statistic and k-means clustering. This paper also presents a novel approach to measure impulse noise density level in the corrupted image, knowledge of which allows us to select suitable parameters for the noise detection algorithm. In noise filtering stage, we apply nonlocal-means (NL-means) estimator to restore noisy pixels to their actual values. Extensive experimental results show that the proposed method outperforms most of the existing impulse noise removal techniques both in terms of noise detection and image restoration.
Keywords :
image denoising; image restoration; impulse noise; nonlinear estimation; statistical analysis; Luo-statistics; NL-means; digital images; image restoration; impulse detection algorithm; impulse noise density level; impulse noise detection; k-means clustering; noise filtering stage; noisy pixelrestoration; nonlocal-means estimator; random-valued impulse noise removal; Detectors; Image restoration; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on
Conference_Location :
Islamabad
Type :
conf
DOI :
10.1109/IBCAST.2014.6778135
Filename :
6778135
Link To Document :
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