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Image Blur Estimation Using Dark Channel Prior  

Park, Han-Hoon (부경대학교)
Moon, Kwang-Seok (부경대학교)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.15, no.3, 2014 , pp. 80-84 More about this Journal
Abstract
Dark channel prior means that, for undistorted outdoor images, at least one color channel of a pixel or its neighbors have values close to 0, and thus the prior can be used to estimate the amount of distortion for given distorted images. In other words, if an image is distorted by blur, its dark channel values are averaged with neighbor pixel values and thus increase. This paper proposes a method that estimates blur strengths by analyzing the variation of dark channel values caused by blur. Through experiments with images distorted by Gaussian and horizontal motion blur with given strengths, the usefulness of the proposed method is verified.
Keywords
Dark channel prior; blur estimation; Gaussian blur; motion blur;
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