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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 1,January 2012
Remote Sensing Image Restoration Using Various Techniques:A Review
Full Text(PDF, )  PP.3I0-315  
Author(s)
Er.Neha Gulati,Er.Ajay Kaushik
KEYWORDS
Image Restoration,Degradation model, Richardson-Lucy algorithm,Wiener filter, Neural Netw ork,Blind Deconvolution
ABSTRACT
In the imaging process of the remote sensing ,there was degradation phenomenon in the acquired images. In order to reduce the image blur caused by the degradation, the remote sensing images were restored to give prominence to the characteristic objects in the images.the images were restored. IMAGE restoration is an important issue in high-level image processing..The purpose of image restoration is to estimate the original image from the degraded data. It is widely used in various fields of applications, such as medical imaging, astronomical imaging, remote sensing, microscopy imaging, photography deblurring, and forensic science, etc. Restoration is beneficial to interpreting and analyzing the remote sensing images. After restoration, the blur phenomenon of the images is reduced. The characters are highlighted, and the visual effect of the images is clearer. In this paper different image restoration techniques like Richardson-Lucy algorithm, Wiener filter, Neural Network,Blind Deconvolution.
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