Title :
A Comparison of Some State of the Art Image Denoising Methods
Author :
Seo, Hae Jong ; Chatterjee, Priyam ; Takeda, Hiroyuki ; Milanfar, Peyman
Author_Institution :
Univ. of California, Santa Cruz
Abstract :
We briefly describe and compare some recent advances in image denoising. In particular, we discuss three leading denoising algorithms, and describe their similarities and differences in terms of both structure and performance. Following a summary of each of these methods, several examples with various images corrupted with simulated and real noise of different strengths are presented. With the help of these experiments, we are able to identify the strengths and weaknesses of these state of the art methods, as well as seek the way ahead towards a definitive solution to the long-standing problem of image denoising.
Keywords :
image denoising; image denoising method; kernel-based method; Art; Data models; Image denoising; Image processing; Kernel; Noise reduction; Sampling methods; Symmetric matrices; Taylor series; Time sharing computer systems;
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2007.4487266
