Filter comparison in wavelet transform of still images

This paper discusses the features of wavelet filters in compression of still images and characteristic that they show for various image content and size. The aim of this work is to create a palette of functions (filters) for implementation of wavelet in still image processing and to emphasize the advantage of this transformation relating to today´s methods. Filters taken in the test are some of the most used: Haar filter (as the basis), orthogonal Daubechies´ and Battle-Lemarie filters such are least asymmetric, Shannon and Coiflet, and symmetric biorthogonal filter. All these filters give various performances for images of different content. Objective and subjective picture quality characteristics of images coded using wavelet transform with different filters are given. The comparison between JPEG coded picture and the same picture coded with wavelet transform is given. For higher compression ratios it is shown that wavelet transform has better S/N than JPEG.