Hybrid Image Compression using orthogonal wavelets

Abstract

In this paper, a new algorithm is introduced for analyzing images in a better way based on the design of wavelets. Wavelet algorithms process data at different scales or resolutions. They have advantages over traditional fourier methods in analyzing physical situations where the signal contains discontinuities and sharp spikes. The fundamental idea behind wavelets is to analyze according to scale. To construct a wavelet of some practical utility, we rarely start by drawing a waveform. Instead, it usually makes more sense to design the appropriate quadrature mirror filters, and then use them to create the waveform. Here, later case is used to design the wavelet and Lossless predictive coding used to compress the image. Proposed hybrid algorithm gives better results, especially in getting less entropy values.