Image Compression Using DWT and Optimization Using Evolutionary Algorithm

Abstract

The proposed system is based on image compression using Discrete Wavelet Transform (DWT) technique and optimization using evolutionary algorithms like artificial bee colony and particle swarm optimization. The optimization provides the good quality of the image in order to provide better results. As the image quality and its size are constantly increasing. Many products in the market use images for control and display with advanced technology. The I​mage compression is a technique in different types of multi-media services. In this project coding techniques called Discrete Wavelet Transform (DWT) is applied for image compression. These techniques utilize less memory. In order to find the best possible quality of image​ ​we will use evolutionary algorithms for optimization. Evolutionary algorithms are the evolution of the species and it focuses on the mechanism. Since after the compression of the image using DWT the image quality has deteriorated hence we make use of evolutionary algorithms to optimize the compressed image. Here two types of evolutionary algorithms are used: ​artificial bee colony and particle swarm optimization and they are compared in terms of parameters like PSNR, CR, MSE and entropy.