The Application Of Image Compression Based On Discrete Wavelet Transform
This work was supported by the State 863 Program (2003AA148040), the National Natural Science Foundation of China (grant number 10471151,60216263, 6990312), New Century Excellent Talent Support Project of Chinese Ministry of Education, Doctor Station Foundation of Chinese Ministry of Education, Chongqing Tackle Key Problem Program and Chongqing Natural Science Foundation.
The discrete wavelet analysis has become the up-to-date technology for signal processing, especially for image compression. The effect to image compression has been testified by all kinds of applications and researches. Discrete wavelet transform (DWT) represents image as a1 sum of wavelets on the different resolution levels. Basis for wavelet transform can be composed of any function that satisfies the requirements of multiresolution analysis. It is clear that there exits a numerous selection of wavelet families in according to the choice of wavelet function. The choice of wavelet family depends on the applications. This choice in image compression application must depend on image content. In this paper, we will introduce fundamentals of wavelet based image compression. The results of image quality for different wavelet functions, compression ratios, image contents and resolution are given. So we can find comparatively better way to compress image according to the different requirements.
