Fast image restoration methods for impulse and Gaussian noises removal

IEEE Signal Processing Letters

Volumn 16, Issue 6, 2009, Pages 457-460

  Huang, Yu Mei ^a   Ng, Michael K ^b   Wen, You Wei ^c,d  

^a LANZHOU UNIVERSITY   (China)

^b HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^c SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^d NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Deblurring; Denoising; Gaussian noise; Impulse noise; Total variation

Indexed keywords

ALTERNATING MINIMIZATION ALGORITHMS; BLURRED IMAGE; DE-NOISING; DEBLURRING; GAUSSIAN NOISE; IMAGE RESTORATION; NOISY IMAGE; TOTAL VARIATION; TOTAL VARIATION MINIMIZATION;

ALGORITHMS; GAUSSIAN DISTRIBUTION; IMAGE RECONSTRUCTION; NOISE POLLUTION CONTROL; OPTIMIZATION; RESTORATION;

IMPULSE NOISE;

EID: 73849130317     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2009.2016835     Document Type: Article

References (15)

1. L. Bar, A. Brook, N. Sehen, and N. Kiryati, "Deblurring of color images corrupted by salt-and-pepper noise," IEEE Trans. Image Process., vol. 16, pp. 1101-1111, 2007.
2. L. Bar, N. Sehen, and N. Kiryati, "Image deblurring in the presence of impulsive noise," Int. J. Comput. Vis., vol. 70, pp. 279-298, 2006.
3. J. Cai, R. Chan, and M. Nikolova, "Two-phase approach for deblurring images corrupted by impulse plus Gaussian noise," Inv. Pwb. Imag., vol. 2, pp. 187-204, 2008.
4. A. Chambolle, "An algorithm for total variation minimization and applications," J. Math. Imag. Vis., vol. 20, pp. 89-97, 2004.
5. T. Chan and K. Chen, "An optimization based total variation image denoising," SIAM J. Mult. Model Simul, vol. 5, pp. 615-645, 2006.
6. R. Chan, C Hu, and M. Nikolova, "An iterative procedure for removing random-valued impulse noise," IEEE Signal Process. Lett., vol. 11, pp. 921-924, 2004.
7. R. Chan, C Ho, and M. Nikolova, "Salt-and-pepper noise removal by median-type noise detector and edge-preserving regularization," IEEE Trans. Image Process., vol. 14, pp. 1479-1485, 2005.
8. T. Chen and H. Wu, "Space variant median filters for die restoration of impulse noise currupted images," IEEE Trans. Circuits Syst. II, Analog Digital Signal Process., vol. 48, pp. 784-789, 2001.
9. H. Eng and K. Ma, "Noise adaptive soft-switching median filter," IEEE Trans. Image Process., vol. 10, pp. 242-251, 2001.
10. H. Hwang and R. Haddad, "Adaptive median filters: New algorithms and results," IEEE Trans. Image Process., vol. 4, pp. 499-502, 1995.
11. M. Ng, R. Chan, and W. Tang, "A fast algorithm, for deblurring models with Neumann boundary conditions," SIAM J. Sci. Comput., vol. 21, pp. 851-866, 2000.
12. M. Ng, L. Qi, Y. Yang, and Y. Huang, "On semismooth Newton's methods for total variation minimization,"J. Math. Imag. Vis., vol. 27, pp. 265-276, 2007.
13. M. Nikolova, "A variational approach to remove outliers and impulse noise," J. Math. Imag. Vis., vol. 20, pp. 99-120, 2004.
14. G. Pok, J. Liu, and A. Nair, "Selective removal of impulse noise based on homogeneity level information," IEEE Trans. Image Process., vol. 12, no. 1, pp. 85-92, Jan. 2003.
15. L. Rudin, S. Osher, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol. 60, pp. 259-268, 1992.