An Adaptive Gradient-Projection Image Restoration Algorithm with Spatial Local Constraints 


Vol. 28,  No. 3, pp. 232-238, Mar.  2003


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  Abstract

In this paper, we propose a spatially adaptive image restoration algorithm using local statistics. The local mean, variance, and maximum values are utilized to constrain the solution space, and these parameters are computed at each iteration step using partially restored image. A parameter defined by the user determines the degree of local smoothness imposed on the solution. The resulting iterative algorithm exhibits increased convergence speed when compared to the non-adaptive algorithm. In addition, a smooth solution with a controlled degree of smoothness is obtained. Experimental results demonstrate the capability of the proposed algorithm.

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  Cite this article

[IEEE Style]

W. Song and M. Hong, "An Adaptive Gradient-Projection Image Restoration Algorithm with Spatial Local Constraints," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 232-238, 2003. DOI: .

[ACM Style]

Won-Seon Song and Min-Cheol Hong. 2003. An Adaptive Gradient-Projection Image Restoration Algorithm with Spatial Local Constraints. The Journal of Korean Institute of Communications and Information Sciences, 28, 3, (2003), 232-238. DOI: .

[KICS Style]

Won-Seon Song and Min-Cheol Hong, "An Adaptive Gradient-Projection Image Restoration Algorithm with Spatial Local Constraints," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 232-238, 3. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880