A comparison of some state of the art image denoising methods

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 2007, Pages 518-522

  Seo, Hae Jong ^a   Chatterjee, Priyam ^a   Takeda, Hiroyuki ^a   Milanfar, Peyman ^a  

^a University of California Santa Cruz   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DE-NOISING ALGORITHMS; IMAGE DE-NOISING; STATE OF THE ARTS; STATE-OF-THE-ART METHODS; STRUCTURE AND PERFORMANCE;

IMAGE PROCESSING;

EID: 50249176548     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2007.4487266     Document Type: Conference Paper

References (5)

1. H. Takeda, S. Farsiu, and P. Milanfar, "Kernel regression for image processing and reconstruction," IEEE Transactions on Image Processing, vol. 16, no. 2, pp. 349-366, February 2007.
2. A. Buades, B. Coll, and J, M. Morel, "A. review of image denoising algorithms, with a new one," Multiscale Modeling and Simulation {SIAM interdisciplinary journal), vol. 4, no. 2, pp. 490-530, 2005.
3. C. Kervrann and J. Bourlanger, "Optimal spatial adapation for patchbased image denoising," IEEE Transactions on Image Processing, vol. 15, no. 10, October 2006.
4. M. Mahmoudi and G. Sapiro, "Fast image and video denoising via nonlocal means of similar neighborhoods," Signal Processing Letters, IEEE, vol. 12, no. 12, pp. 839-842, 2005.
5. M. V. Radu Ciprian Bilcu, "Fast nonlocal means for image de-noising," in Proceedings of IS&T/SPIE Symposium on Electronic Imaging, Digital Photography III Conference, vol. 6502, San Jose, California USA, January-February 2007.