| Abstract [eng] |
Digital images are widely used in computer applications. Uncompressed digital images require considerable storage capacity and transmission bandwidth. Efficient image compression solutions are becoming more critical with the recent growth of data intensive, multimedia-based web applications. In this paper, a novel locally progressive image encoding idea (procedure) is presented. The procedure explores both specific properties of Haar wavelets and the EZW algorithm originally used for progressive image encoding. Properties of various discrete transforms and areas of their practical applicability are discussed too. Preliminary experimental results show that the joint application of the discrete Haar transform and the EZW algorithm to locally progressive compression of digital images is not effective. To increase efficiency of the approach (idea), some modifications are proposed. In particular, appropriately chosen enlargement of Haar spectral coefficients led to much better overall performance, unfortunately, at the expense of time expenditures. |
