The application of color image compression based on discrete wavelet transform

Abstract EN

The rapid progress in technology has been the use of color images that contain very large data and to transfer large information without loss of image information led to the creation of an important tool used to compress the color image, which is the modern wavelengths derived from polynomials, depending on the influencers (s,r) responsible for expansion, contraction and compensation in The parent function for obtaining the functions at each point depends on the influences responsible for the formation of the wavelet functions from which we derive the appropriate filter responsible for analyzing the color image and divide it into parameters that divide into two parts Approach and Details.

In this work, new wavelets were used in order to find the exact solution to a number of important numerical problems in the field of mathematics.

These methods are tested in the field of multi resolution analysis (MRA) for using in the field of image processing where it was used in the analysis and compression of the color image, calculating the most important image quality Mean Square Error (MSE) and Peak signal-to-noise ratio (PSNR).

Standards and comparing the results with the results obtained using standard wavelets used in the Matlab program that was used in this work.

In physics, the images of atoms were taken, random images were designed and designed with a size (256 x256) that were processed using modern wavelets.