Adaptive Image Restoration Considering the Edge Direction


The KIPS Transactions:PartB , Vol. 16, No. 1, pp. 1-6, Feb. 2009
10.3745/KIPSTB.2009.16.1.1,   PDF Download:

Abstract

It is very difficult to restore the images degraded by motion blur and additive noise. In conventional methods, regularization usually applies to all the images without considering local characteristics of the images. As a result, ringing artifacts appear in the edge regions and noise amplification is in the flat regions, as well. To solve these problems, we propose an adaptive iterative regularization method, using the way of regularization operator considering edge directions. In addition, we suggest an adaptive regularization parameter and an relaxation parameter. In conclusion, We have verified that the new method shows the suppression of the noise amplification in the flat regions, also does less ringing artifacts in the edge regions. Furthermore, it offers better images and improves the quality of ISNR, comparing with those of conventional methods.


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Cite this article
[IEEE Style]
W. S. Jeon, M. S. Lee, H. Jang, "Adaptive Image Restoration Considering the Edge Direction," The KIPS Transactions:PartB , vol. 16, no. 1, pp. 1-6, 2009. DOI: 10.3745/KIPSTB.2009.16.1.1.

[ACM Style]
Woo Sang Jeon, Myung Sub Lee, and Ho Jang. 2009. Adaptive Image Restoration Considering the Edge Direction. The KIPS Transactions:PartB , 16, 1, (2009), 1-6. DOI: 10.3745/KIPSTB.2009.16.1.1.