Blind restoration algorithm of total variation based on anisotropic regularizations

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Infrared and Laser Engineering >Volume 36 >Issue 1 >Page 118 > Article

Infrared and Laser Engineering
Vol. 36, Issue 1, 118 (2007)

Blind restoration algorithm of total variation based on anisotropic regularizations

[in Chinese]^1、2、*, [in Chinese]¹, [in Chinese]², [in Chinese]¹, and [in Chinese]¹

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¹[in Chinese]

²[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Blind restoration algorithm of total variation based on anisotropic regularizations[J]. Infrared and Laser Engineering, 2007, 36(1): 118 Copy Citation Text

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References

[1] ZHANG Tian-xu,HONG Han-yu.Restoration algorithms for turbulence-degraded images based on the optimized estimation of the discrete values of overall PSFs[J].Optical Engineering,2005,44(1):1-17.

[3] YOU Y L,KAVEH M.Blind image restoration by anisotropic regularization[J].IEEE Trans on Image Processing,1999,8(3):396-407.

[4] RUDIN L I,OSHER S,FATEMI E.Nonlinear total variation based noise removal algorithm[J].Physica D,1992,60(2):259-268.

[5] CHANT F,WONG C K.Total variation blind deconvolution[J].IEEE Transactions On Image Processing,1998,7(3):370-375.

[6] PARK S C,KANG M G.Noise-adaptive edge-preserving image restoration algorithm[J].Opt Eng,2000,39(12):3124-3136.

[8] VOGEL C R,OMAN M E.Iterative methods for variation denoising[J].SIAM J Sci Comput,1996,17(1):227-238.

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