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Journal of Electrical and Computer Engineering
Volume 2010, Article ID 172081, 6 pages
Research Article

An Objective Evaluation Method for Image Restoration

Center for Artificial Intelligence and Robotics, India

Received 25 September 2009; Revised 21 January 2010; Accepted 31 January 2010

Academic Editor: Tamal Bose

Copyright © 2010 A. Lakshmi and Subrata Rakshit. 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.


Accurate image restoration is of paramount importance for low-level vision, computer vision, and various other fields. Numerous complex restoration algorithms have been stated in the literature. Performance of these restoration algorithms differs with the nature of the image and distortion. These algorithms are evaluated either qualitatively or quantitatively by comparing the restored image with the original image. The practical drawback of this quantitative comparison is the requirement for the original image. In this paper, we propose a measure, with theoretical grounding, to objectively evaluate the restoration algorithms with no knowledge about the original image. This measure analyses the deblurring as well as the denoising nature of the restoration method. The main utility of this measure will be in designing automatic restoration systems. Effectiveness of this measure is substantiated with experimental results.