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Cascade window-based procedure for impulse noise removal in heavily corrupted images

[+] Author Affiliations
Ali S. Awad

Alazhar University, Faculty of Engineering and Information Technology, Gaza, Palestine

Hong Man

Stevens Institute of Technology, Department of Electrical and Computer Engineering, Buchard Building, Castle Point on Hudson, Hoboken, New Jersey 07030

Khaldoun Khashanah

Stevens Institute of Technology, Department of Electrical and Computer Engineering, Buchard Building, Castle Point on Hudson, Hoboken, New Jersey 07030

J. Electron. Imaging. 19(1), 013006 (March 03, 2010). doi:10.1117/1.3316453
History: Received June 10, 2008; Revised December 18, 2009; Accepted December 22, 2009; Published March 03, 2010; Online March 03, 2010
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A cascade of filtering windows is implemented iteratively for removing random-valued impulse noise in heavily corrupted images. This method is based on the peer group concept (PGC), so a pixel is considered as noise-free if and only if for each window size, there exists a peer group of certain threshold cardinality for it. Otherwise, the pixel is considered as noisy. In the restoration process, the corrupted pixels are restored by taking the mean value of the remaining good pixels in the filtering window. Extensive simulations demonstrate that the proposed method produces competitive results at low noise rates, but at high noise rates, it outperforms other state-of-the-art methods. This approach efficiently suppresses the impulse noise, shows a low computational complexity, and has an equal effect on both color and gray-level images.

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© 2010 SPIE and IS&T

Citation

Ali S. Awad ; Hong Man and Khaldoun Khashanah
"Cascade window-based procedure for impulse noise removal in heavily corrupted images", J. Electron. Imaging. 19(1), 013006 (March 03, 2010). ; http://dx.doi.org/10.1117/1.3316453


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