Principle of compression images based on discrete wavelet transform

Abstract

In the article the basic principles of image compression using discrete wavelet transform is presented. Promising imaging techniques EZW and SPIHT, based on zero-tree algorithm are shown. An example shows the operation of SPIHT image processing method with an integrated zero-tree algorithm structure. The simulation package application environment MATLAB compress grayscale images based on discrete wavelet transform. The conclusion is that suitable for practical purposes and visually high quality image can be obtained by resetting up to 85% of the processed image coefficients. Resetting up to 50% of the processed image coefficients allows to obtain the picture, do not differ in the numerical characteristics of the peak signal to noise ratio and the structural similarity index of the original grayscale image.

Keywords

• дискретное вейвлет-преобразование
• алгоритм нульдерева
• метод ezw
• метод spiht
• сжатие изображения
• discrete wavelet transform
• zero-tree algorithm
• ezw method
• spiht method
• image compression