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Phase pattern denoising using a regularized cost function with complex-valued Markov random fields based on a discrete model |
Applied Optics, Vol. 49, Issue 36, pp. 6845-6849 (2010)
http://dx.doi.org/10.1364/AO.49.006845
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Abstract
We present a simple and effective method for denoising phase patterns based on a discrete model. The proposed filtering method transforms the image denoising problem to solving the energy diffusion problem of a system with complex-valued fields. We establish an appropriate cost function that uses the discrete form of complex-valued Markov random fields. The attractiveness of the proposed filtering method includes three points: the first is that the filtering process can be easily implemented using an iterative method, the second is that
© 2010 Optical Society of America
OCIS Codes
(100.3008) Image processing : Image recognition, algorithms and filters
(110.3175) Imaging systems : Interferometric imaging
ToC Category:
Image Processing
History
Original Manuscript: August 30, 2010
Revised Manuscript: November 5, 2010
Manuscript Accepted: November 6, 2010
Published: December 13, 2010
Citation
Yan-Hua Li, Shi-Liang Qu, Xiang-Jun Chen, and Zhi-Yong Luo, "Phase pattern denoising using a regularized cost function with complex-valued Markov random fields based on a discrete model," Appl. Opt. 49, 6845-6849 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-36-6845
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