E ISSN: 2583-049X
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International Journal of Advanced Multidisciplinary Research and Studies

Volume 2, Issue 3, 2022

Design and Optimization of Image Compression Algorithm using Wavelet Transform for Satellite Imagery



Author(s): Nolan Samraj Godwin David Sounder, Taiwo Samuel Aina, Uyi Aiyudubie Samson, Oluwaseun Olanrewaju Akinte, Adetola John Awelewa

Abstract:

The aim of this research is to develop an image compression system as part of a new satellite imaging photography transmission system. The wavelet transform has been used to build the picture compression technique in this research. The design presented and explained a thorough schematic model of the forward wavelet transform applied to images with only one decomposition level using only the operator symbols for filtering and downsampling. A thorough schematic diagram of the inverse wavelet transform utilised for reconstruction of pictures with only one synthesis level was also shown and explained using only the operator symbols for filtering and upsampling. The number of operations required for approximation of an image of size 512 x 512 pixels was calculated, as well as the schematic diagram for deploying the wavelet transform with three iterations (decomposition levels) to images shown. Every step of the computations is given on how the downsampling operator can reduce the number of operations, assuming that the wavelet filters employed in the process have four coefficients. The mean squared error of 378.6702 was obtained using MATLAB source code for   image approximation.


Keywords: Image Compression, Downsampling, Upsampling, Image Approximation, Discrete Cosine Transforms (DCT)

Pages: 200-205

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