TY  - JOUR
T1  - Wavelet Transform Based Satellite Image Enhancement
AU - Basha, S. Alaudeen AU - Vijayakumar, V. 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 4
SP  - 854
EP  - 856
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.854.856
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.854.856
KW  - Satellite image enhancement
KW  -DWT
KW  -PSNR
KW  -technique
KW  -entropy
KW  -frequency
AB  - 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.
ER  -