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In the previous blind deconvolution methods, de-blurred images can beobtained by using the edge or pixel information. However, the existingedge-based methods did not take advantage of edge information inommi-directions, but only used horizontal and vertical edges when recoveringthe de-blurred images. This limitation lowers the quality of the recoveredimages. This paper proposes a method which utilizes edges in differentdirections to recover the true sharp image. We also provide a statistical tablescore to show how many directions are enough to recover a high quality truesharp image. In order to grade the quality of the deblurring image, weintroduce a measurement, namely Haar defocus score that takes advantage of theHaar-Wavelet transform. The experimental results prove that the proposed methodobtains a high quality deblurred image with respect to both the Haar defocusscore and the Peak Signal to Noise Ratio.

Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information