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IOSR Journal of Engineering
Article . 2014 . Peer-reviewed
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Inpainting For Image Restoration

Authors: Chaitali P. Sathe;

Inpainting For Image Restoration

Abstract

This paper presents comparision between 2 ways of image inpainting for image restoration.A rough version of the input image is inpainted CDD inpainting technique and by TV inpainting technique. Image is usually statistically corrupted with noise ,hence removal of the noise is another necessary objective of this paper. These ways are going to be applied to grey scale and RGB pictures. Compared to existing approaches, some enhancements are done .The inpainting of a rough version of the input image permits to scale back the machine complications, to be less vulnerable to noise and to figure with the dominant orientations of image structures. Experimental results on completely different pictures can show the effectiveness of the 2 ways.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze