IMAGE COMPRESSION BASED ON PYRAMID SUBBAND FILTERING

An efficient image compression method based on pyramid sub-band filter ing is presented. Gaussian and Laplacian pyramids are adopted to const ruct a sub-band filter. The filter is then used to decompose an origin al image signal into three sub-bands: low-frequency, middle frequency and high frequency. The sub-bands are separately encoded by different schemes according to the statistical characteristics of the sub-bands and the properties of the human visual system. Simulation results show that the compression efficiency is improved significantly.