  In the previous blind deconvolution methods, de-blurred images can be
obtained by using the edge or pixel information. However, the existing
edge-based methods did not take advantage of edge information in
ommi-directions, but only used horizontal and vertical edges when recovering
the de-blurred images. This limitation lowers the quality of the recovered
images. This paper proposes a method which utilizes edges in different
directions to recover the true sharp image. We also provide a statistical table
score to show how many directions are enough to recover a high quality true
sharp image. In order to grade the quality of the deblurring image, we
introduce a measurement, namely Haar defocus score that takes advantage of the
Haar-Wavelet transform. The experimental results prove that the proposed method
obtains a high quality deblurred image with respect to both the Haar defocus
score and the Peak Signal to Noise Ratio.
