Image deblur in gradient domain

Abstract

This paper proposes a new method for natural-image deblur based on a single blurred image. The natural image prior, a sparse gradi- ent distribution, is enforced using a gradient histogram remapping method in the proposed deblur algorithm. The proposed objective function for blind deconvolution is solved by an alternating minimization method. The point spread function and the unblurred image are updated alternately. The pro- posed method is able to produce high-quality deblurred results with low computational costs. Both synthetic and real blurred images are tested in the experiments. Encouraging experimental results show that the newly proposed method could effectively restore images blurred by complex mo- tion. C 2010 Society of Photo-Optical Instrumentation Engineers. (DOI: 10.1117/1.3505868) Subject terms: motion deblurring; blind image deconvolution; image deconvolution; image enhancement.