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Comparative Study On Image Restoration Techniques Using The Partial Differential Equation And Filters

Publication Type : Journal Article

Publisher : International Journal of Engineering Research and Technology

Source : International Journal of Engineering Research and Technology, ESRSA Publications, Volume 2, Number 6 (2013)

Campus : Coimbatore

School : School of Engineering

Center : Center for Computational Engineering and Networking

Department : Computer Science

Verified : Yes

Year : 2013

Abstract : This paper explains how image restoration can be achieved by using Partial Differential Equations i.e., Heat Equation and Perona-Malik Equation and other conventional filters. In conventional filters like Mean, Median and Wiener filters the original image is lost as it is not done under a mathematical framework which is reversible. Whereas PDE based model uses a standard mathematical technique which is able to reverse the filtering process, provided some portion of original data is available. Based on the type of noise present in the image, the partial differential equation based approach gives better results. In this paper denoising is applied to digital images.

Cite this Research Publication : L. Laxman, Kamalaveni, V., and Narayanankutty, K. A., “Comparative Study On Image Restoration Techniques Using The Partial Differential Equation And Filters”, International Journal of Engineering Research and Technology, vol. 2, 2013

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