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http://dx.doi.org/10.6109/jkiice.2015.19.3.645

Study on Efficient Image Restoration using Reference Image  

Kim, Intaek (Department of Information and Communication Engineering, Myongji University)
Awan, Tayyab Wahab (Department of Information and Communication Engineering, Myongji University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.3, 2015 , pp. 645-650 More about this Journal
Abstract
Image restoration is required when the image is blurred due to out of focus or motion during the image acquisition. This type of image restoration is known as ill-posed inverse problem because the estimate of an original image should be derived from only one blurred image. This paper introduces a reference image to facilitate the restoration process. The experimental result shows that computation time is significantly reduced, compared with other methods. The proposed method obtains the estimate of the kernel used in blurring processing. New cost function is defined to update both the image and the kernel alternately. In the last stage, Wiener filter produces the estimate of an original image using the kernel and the reference image.
Keywords
Image Restoration; Blind Deconvolution; Reference Image; Wiener Filter;
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