Accelerate Image Reconstruction Using GPU

S.M. Walunj¹ , S.V. Gaikar² , A.D. Potgantwar³

¹ Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.
² Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.
³ Computer Engineering, Sandip Foundations SITRC (Pune University), Nashik, India.

Correspondence should be addressed to: shivani.gaikar100@gmail.com.

Section:Research Paper, Product Type: Journal
Vol.5 , Issue.3 , pp.68-75, Jun-2017

Online published on Jun 30, 2017

Copyright © S.M. Walunj, S.V. Gaikar, A.D. Potgantwar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The Region-of-Interest approaches of image processing attempt to assign more bits to ROI’s and fewer bits to other regions. The perceptual quality of image degrades as the background image gets distorted. To address the issue, the system generate as hierarchical framework of 3 layers i.e. image search, patch matching and image synthesis(image reconstruction). Compared with exsisting techniques i.e. ROI, the proposed system achieve better results in terms of Time, Recall, Precision and Fmeasure(Accuracy). The proposed system enhances the speed of reconstruction of reconstruction of image by 5-6% and also increases the accuracy by 8% to 10% than existing approach.

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