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Contrast Enhancement of Remote Sensing Images using DWT with Kernel Filter and DTCWT

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 17
Year of Publication: 2014
Authors:
Ruchika Mishra
Utkarsh Sharma
Manish Shrivastava
10.5120/15304-4075

Ruchika Mishra, Utkarsh Sharma and Manish Shrivastava. Article: Contrast Enhancement of Remote Sensing Images using DWT with Kernel Filter and DTCWT. International Journal of Computer Applications 87(17):43-49, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Ruchika Mishra and Utkarsh Sharma and Manish Shrivastava},
	title = {Article: Contrast Enhancement of Remote Sensing Images using DWT with Kernel Filter and DTCWT},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {17},
	pages = {43-49},
	month = {February},
	note = {Full text available}
}

Abstract

Image enhancement is the indispensable features in image processing to increase the contrast of the remote sensing data and to provide better transform representation of the remote image data. This paper presents a new method to improve the contrast and intensity of the image data. The method employs that the discrete wavelet transform with Kernel adaptive filtering. The performance of this algorithm is analysed and compared between EME and PSNR using simulator MATLAB 2009A.

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