Volume : V, Issue : III, March - 2015

The Comparative Study of Image DeblurringTechniques

Anju Dahiya, R. B. Dubey

Abstract :

Deblurring the images to remove the noise from them can help scientists to gain a better insight into their data. Image restoration/deblurring methods can be considered as direct techniques when their results are produced in a simple one step fashion. Equivalently, indirect techniques can be considered as those in which restoration results are obtained after a number of iterations. A comparative study is performedfor four different image deblurring techniques like Wiener filter, Regularized filter, Richardson–Lucy and Blind De–convolution on a set of standard images. These techniques have been evaluated on the basis of simulation results and performance measures.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Anju Dahiya, R. B. Dubey The Comparative Study of Image DeblurringTechniques Indian Journal of Applied Research, Vol.5, Issue : 3 March 2015

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