DocumentCode
163902
Title
An efficient approach for colour image enhancement using Discrete Shearlet Transform
Author
Premkumar, S. ; Parthasarathi, K.A.
Author_Institution
St. Peter´s Univ., Chennai, India
fYear
2014
fDate
8-8 July 2014
Firstpage
363
Lastpage
366
Abstract
Image enhancement is a key processing on an image for wide range of applications. Contrast enhancements improve the perceptibility of an image by changing the pixels intensity of the input image. In this study, a novel method for image contrast enhancement is proposed based on Discrete Shearlet Transform (DST) for color images. In order to obtain high contrast enhancement image, the RGB image is first converted into HSV (Hue, Saturation and Value) color space. The converted hue color channel is only taken into the account for DST decomposition. After that higher sub bands of hue component are eradicated and lower sub bands are only considered for reconstruction. Finally, high contrast image is obtained by using reconstructed Hue for HSV colour space and convert this colour space into RGB color space. The performance of the proposed contrast image enhancement method is compared with existing histogram equalization based image enhancement. The visualization based results show that the proposed contrast image enhancement system achieves satisfactory performance.
Keywords
discrete wavelet transforms; image colour analysis; image enhancement; DST; HSV color space; RGB color space; colour image enhancement; discrete Shearlet transform; histogram equalization; hue-saturation-value color space; image contrast enhancement; image perceptibility; image pixel; red-green-blue color space; Color; Histograms; Image color analysis; Image enhancement; Image reconstruction; Market research; Transforms; discrete shearlet transform has color space histogram equalization; image enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Current Trends in Engineering and Technology (ICCTET), 2014 2nd International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-7986-8
Type
conf
DOI
10.1109/ICCTET.2014.6966316
Filename
6966316
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