Open AccessContrast Enhancement of Remote Sensing Images using DWT with Kernel Filter and DTCWT
Author(s) -
Ruchika Mishra,
Utkarsh Sharma,
Manish Shrivastava
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/15304-4075
Subject(s) - computer science , contrast (vision) , artificial intelligence , contrast enhancement , kernel (algebra) , image enhancement , pattern recognition (psychology) , filter (signal processing) , computer vision , image (mathematics) , radiology , magnetic resonance imaging , medicine , mathematics , combinatorics
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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