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Reseach Article

Digital Image Inpainting based on Median Diffusion and Directional Median Filtering

Published on March 2014 by Anupama Sanjay Awati, Meenakshi R. Patil
International Conference on Advances in Computer Engineering and Applications
Foundation of Computer Science USA
ICACEA - Number 3
March 2014
Authors: Anupama Sanjay Awati, Meenakshi R. Patil
f9d26a48-0894-41bc-b21a-c68d91f67000

Anupama Sanjay Awati, Meenakshi R. Patil . Digital Image Inpainting based on Median Diffusion and Directional Median Filtering. International Conference on Advances in Computer Engineering and Applications. ICACEA, 3 (March 2014), 35-39.

@article{
author = { Anupama Sanjay Awati, Meenakshi R. Patil },
title = { Digital Image Inpainting based on Median Diffusion and Directional Median Filtering },
journal = { International Conference on Advances in Computer Engineering and Applications },
issue_date = { March 2014 },
volume = { ICACEA },
number = { 3 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 35-39 },
numpages = 5,
url = { /proceedings/icacea/number3/15630-1432/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Engineering and Applications
%A Anupama Sanjay Awati
%A Meenakshi R. Patil
%T Digital Image Inpainting based on Median Diffusion and Directional Median Filtering
%J International Conference on Advances in Computer Engineering and Applications
%@ 0975-8887
%V ICACEA
%N 3
%P 35-39
%D 2014
%I International Journal of Computer Applications
Abstract

Inpainting refers to the art of restoring lost elements of image and reconstructing them from the background data. Filling the region of missing data of a picture from the data of the encompassing and reconstructing the image is that the basic work of Image Inpainting algorithms. Here in this paper we have compared two techniques for image inpainting namely median diffusion (median filtering) and directional median filtering. In both the techniques the area to be inpainted is manually selected by the user. In first method a rectangular region of D x D pixels is selected and the center pixel is replaced by the median of this block. In second method D x D block size is selected in the region to be inpainted and median in all direction is taken then the centre pixel is replaced by the median of these medians. The techniques are implemented in matlab and results are obtained and compared using standard images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Median Diffusion (median Filtering) And Directional Median Filtering