New algorithms for recovering highly corrupted images with impulse noise

Scientia Iranica

Volumn 19, Issue 6, 2012, Pages 1738-1745

  Jourabloo, A ^a   Feghahati, A H ^a   Jamzad, M ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Filtering; Image processing; Impulse noise; Noise removal; Restoring an image; Salt pepper

Indexed keywords

ADAPTIVE FILTERS; ECONOMIC AND SOCIAL EFFECTS; FILTRATION; IMAGE DENOISING; IMAGE PROCESSING; MEDIAN FILTERS; SALT REMOVAL;

ADAPTIVE MEDIAN FILTER (AMF); COMPUTATION TIME; HIGHLY CORRUPTED IMAGES; NOISE REMOVAL; NOISY IMAGE; QUALITATIVE PROPERTIES; RESTORING AN IMAGE; STANDARD MEDIAN FILTER;

IMPULSE NOISE;

ALGORITHM; EXPERIMENTAL STUDY; IMAGE PROCESSING; NOISE; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS;

EID: 84871978005     PISSN: 10263098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scient.2012.07.016     Document Type: Article

References (15)

1. I. Pitas, and A.N. Venetsanopoulos Order statistics in digital image processing Proceedings of the IEEE 80 12 1992 1893 1921
2. K.S. Srinivasan, and D. Ebenezer A new fast and efficient decision-based algorithm for removal of high-density impulse noises IEEE Signal Processing Letters 14 3 2007 189 192
3. H. Hwang, and R.A. Haddad Adaptive median filters: new algorithms and results IEEE Transactions on Image Processing 4 4 1995 499 502
4. T. Sun, and Y. Neuvo Detail-preserving median based filter in image processing Pattern Recognition Letters 15 4 1994 341 347
5. S.S. Wang, and C.H. Wu A new impulse detection and filtering method for removal of wide range impulse noises Pattern Recognition 42 9 2009 2194 2202
6. Wang, C., Chen, T. and Qu, Z. "A novel improved median filter for salt-and-pepper noise from highly corrupted images", IEEE International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA, Harbin, China, pp. 718-722 (2010).
7. W. Han, and J. Lin Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images Electronics Letters 33 2 1997 124 125
8. R.H. Chan, C. Ho, and M. Nikolova Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization IEEE Transactions on Image Processing 14 10 2005 1479 1485
9. P. Chen, and C. Lien An efficient edge-preserving algorithm for removal of salt-and-pepper noise IEEE Signal Processing Letters 15 2008 833 836
10. Majid, A. and Tariq Mahmood, M. "A novel technique for removal of high density impulse noise from digital images", IEEE International Conference on Emerging Technologies, ICET, Islamabad, Pakistan, pp. 139-143 (2010).
11. Duan, D., Mo, Q., Wan, Y. and Han, Z. "A detail preserving filter for impulse noise removal", IEEE International Conference on Computer Application and System Modeling, ICCASM, Taiyuan, China, pp. V2-265-V2-268 (2010).
12. P. Ng, and K. Ma A switching median filter with boundary discriminative noise detection for extremely corrupted images IEEE Transactions on Image Processing 15 6 2006 1506 1516
13. A. Fabijańska, and D. Sankowski Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images Image Processing, IET 5 5 2011 472 480
14. Feghahati, A.H., Jourabloo, A. and Jamzad, M. "New algorithms for recovering highly corrupted images with impulse noise", 2nd International Conference on Contemporary Issues in Computer and Information Sciences, CICIS'11, Zanjan, Iran, pp. 14-18, May 31-June 2 (2011).
15. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli Image quality assessment: from error visibility to structural similarity IEEE Transactions on Image Processing 13 4 2004 600 612