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Journal of Engineering and Applied Sciences

Wavelet Transform Based Satellite Image Enhancement
S. Alaudeen Basha and V. Vijayakumar

Abstract: In this note, Discrete Wavelet Transform (DWT) based image resolution enhancement technique is proposed on high frequency sub-band interpolation images. Input images are decomposed by using DWT in this proposed enhancement technique. DWT decomposes the input image in four dissimilar frequency sub-bands; High-High (HH), High-Low (HL), Low-High (LH) and Low-Low (LL). Edge information is preserved by applying gamma correction to LL sub-band only. New resolution enhanced image is generated by using inverse DWT from high frequency sub-band and low resolution image from input. Entropy, EME and signal to noise ratio performance is measured using this proposed technique.

How to cite this article
S. Alaudeen Basha and V. Vijayakumar, 2018. Wavelet Transform Based Satellite Image Enhancement. Journal of Engineering and Applied Sciences, 13: 854-856.

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