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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.

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