Research Article
Contrast Enhancement of Dark Images using Transformation and Guided Filtering and Bilateral Filtering
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 106 - Issue 13 |
| Published: November 2014 |
| Authors: Anubha Prajapati, Monika Agrawal |
10.5120/18578-9847
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Anubha Prajapati, Monika Agrawal . Contrast Enhancement of Dark Images using Transformation and Guided Filtering and Bilateral Filtering. International Journal of Computer Applications. 106, 13 (November 2014), 8-12. DOI=10.5120/18578-9847
@article{ 10.5120/18578-9847,
author = { Anubha Prajapati,Monika Agrawal },
title = { Contrast Enhancement of Dark Images using Transformation and Guided Filtering and Bilateral Filtering },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 106 },
number = { 13 },
pages = { 8-12 },
doi = { 10.5120/18578-9847 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Anubha Prajapati
%A Monika Agrawal
%T Contrast Enhancement of Dark Images using Transformation and Guided Filtering and Bilateral Filtering%T
%J International Journal of Computer Applications
%V 106
%N 13
%P 8-12
%R 10.5120/18578-9847
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Contrast Enhancement involves enhancement of images such that the visibility of images increases. Contrast enhancement of images is used for a variety of applications such as in medical field, image enhances software's. Although there are various techniques implemented for the enhancement of images such as using non-dynamic stochastic resonance [1]. But the technique implemented improves the enhancement of images up to some extent. Here in this paper an efficient technique is implemented for the contrast enhancement using hybrid combination of transformation and filtering techniques. The idea is to use DWT transformation and then applying guided filtering and bilateral filtering. The proposed methodology implemented provides high image quality index and image color enhancement as well as perceptual quality of dark images.
References
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