S. Alaudeen  Basha, V.  Vijayakumar, 
    Wavelet Transform Based Satellite Image Enhancement,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 4,
    2018,
    Pages 854-856,
    ISSN 1816-949x,
    jeasci.2018.854.856,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.854.856)
    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.
    Keywords: Satellite image enhancement;DWT;PSNR;technique;entropy;frequency