A Method for Blind Deblurring of Natural Images

Author(s):

Alavelu Uppari , Sagar Institute of Technology , Chevella, Hyderabad, Telangana, India-501503

Keywords:

Filter, Image, Deblurring, Frame, Optics

Abstract:

Image de blurring is an inverse problem whose aim to recover an image from a version of that image which has suffered a linear degradation and noise. A method for blind image de blurring is presented. The method only makes weak assumptions about the blurring filter and is able to undo wide variety of de blurring degradations .But effective ness of this approach under presence of noise is still confused. To overcome this an approach is investigated where, in presence of asymmetric noise, a preprocessing of image, i.e. denoising the image. To denoising the image we used two techniques, bilateral filtering and singular value decomposition de noising. We comparing the performance using these two methods to restore the image. To overcome the ill-posedness of the blind image de blurring problem, the method includes a learning technique which initially focuses on the main edges of the image and gradually takes details into account. A new image prior, which includes a new edge detector, is used. The method is able to handle unconstrained blurs, but also allows the use of constraints or of prior information on the blurring filter, as well as the use of filters defined in a parametric manner. Furthermore, it works in both single-frame and multiform scenarios. The use of constrained blur models appropriate to the problem at hand, and/or of multiform scenarios, generally improves the de blurring results. Tests performed on monochrome and colour images.

Other Details:

Manuscript Id	:	IJSTEV3I9066
Published in	:	Volume : 3, Issue : 9
Publication Date	:	01/04/2017
Page(s)	:	238-243

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