Restoration of Degraded Gray Images Using Genetic Algorithm | Zendy

Dhirendra Pal Singh | Zendy; Ashish Khare | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Restoration of Degraded Gray Images Using Genetic Algorithm

Author(s) -

Dhirendra Pal Singh,

Ashish Khare

Publication year - 2016

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2016.03.04

Subject(s) - deblurring , computer science , artificial intelligence , image restoration , image (mathematics) , computer vision , gray (unit) , genetic algorithm , inverse , pattern recognition (psychology) , algorithm , image processing , mathematics , machine learning , medicine , radiology , geometry

This Image deblurring aims to eliminate or decrease the degradations that has been occurred while the image has been obtained. In this paper, we proposed a unified framework for restoration process by enhancement and more quantified deblurred images with the help of Genetic Algorithm. The developed method uses an iterative procedure using evolutionary criteria and produce better images with most restored frequency- content. We have compared the proposed methods with Lucy-Richardson Restoration method, method proposed by W. Dong (34) and Inverse Filter Restoration Method; and demonstrated that the proposed method is more accurate by achieving high quality visualized restored images in terms of various statistical quality measures.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research