Bow, Sing-Tze, 1924-
M.S. (Master of Science)
Department of Electrical Engineering
Wavelets (Mathematics); Image compression
Wavelet transform has recently been used in many applications, including speech and image compression as well as multiresolution image analysis. The work presented in this thesis is an application of Harr wavelet transform to monochrome and color image compression. In this thesis, wavelet basis functions, Harr wavelet transform and its fast computational algorithm are introduced. Furthermore, the schemes for efficient monochrome and color image compression using Harr Wavelet Transform (HWT) are proposed and described. Based on these schemes, the monochrome and color image compression algorithms are developed and implemented on the existing image processing system. In each algorithm, two kinds of coefficient sampling strategies are applied: zonal sampling and adaptive threshold sampling. The color image compression method is the extension of a monochrome image compression technique on the three monochrome components called Y, I, and Q. In order to achieve high rates of compression for a color image, more coefficients on I and Q components are discarded in this study because I and Q components contain much less energy than Y component. The results show that higher rates of compression on I and Q components do not cause serious distortion on the reconstructed color image.
Sun, Yonglin, "Monochrome and color image compression using Harr wavelet transform" (1996). Graduate Research Theses & Dissertations. 4024.
x, 113 pages
Northern Illinois University
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