Journal of Engineering and Applied Sciences

103
Views

1
Downloads

Wavelet Transform Based Satellite Image Enhancement

S. Alaudeen Basha and V. Vijayakumar
Page: 854-856 | Received 21 Sep 2022, Published online: 21 Sep 2022

By Research Area

Medicine & Public Health Life Sciences Engineering Mathematics Biomedicine Physics Chemistry Computer Science Earth Sciences Social Sciences Business and Management Psychology Materials Science Economics Education Environment Philosophy Statistics Law Political Science and International Relations Pharmacy Dentistry Energy Linguistics Geography Finance Criminology and Criminal Justice Medicine Cultural and Media Studies History Architecture / Design Literature Biomedical Sciences Religious Studies Education & Language Food Science & Nutrition Public Health

By Volume and Issue

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. Wavelet Transform Based Satellite Image Enhancement.
DOI: https://doi.org/10.36478/jeasci.2018.854.856
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.854.856