Research Article
Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 118 - Issue 25 |
| Published: May 2015 |
| Authors: K. Baranitharan, S. Srinivasa Rao Madane |
10.5120/20960-3495
|
K. Baranitharan, S. Srinivasa Rao Madane . Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation. International Journal of Computer Applications. 118, 25 (May 2015), 5-8. DOI=10.5120/20960-3495
@article{ 10.5120/20960-3495,
author = { K. Baranitharan,S. Srinivasa Rao Madane },
title = { Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 118 },
number = { 25 },
pages = { 5-8 },
doi = { 10.5120/20960-3495 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A K. Baranitharan
%A S. Srinivasa Rao Madane
%T Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation%T
%J International Journal of Computer Applications
%V 118
%N 25
%P 5-8
%R 10.5120/20960-3495
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image enhancement is a technique that enhances the perceptual quality of the images and restraining other information on it. The images with enhanced perceptual quality are needed in various areas of application such as remote sensing, medical and aerial image analysis. In this study a robust colour image enhancement technique is proposed by exploiting Stationary Wavelet Transform (SWT), HSV (Hue, Saturation and Value) colour model, k-means clustering, hill climbing and Histogram Equalization (HE) techniques. A visible improvement in the image quality for human contrast perception is achieved by this proposed approach and the objective assessment also provides satisfactory results.
References
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