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Erschienen in:
2013 | OriginalPaper | Buchkapitel
94. Image Compression Algorithm Based on Lifting Wavelet
verfasst von : Yong Li, Dejian Kong, Hengji Du
Erschienen in: Informatics and Management Science V
Verlag: Springer London
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Abstract
Wavelet transform has good characteristics of time and frequency, and it is very suitable for the analysis of mutant signal. So as a good method of image analysis, wavelet transform has been widely used in extraction of edge and compression of image. But large computation of wavelet transform, limits its application in high-speed and real-time signal processing field. Compared with traditional wavelet transform, lifting algorithm does not depend on the Fourier transform. Lifting Wavelet transform is very suitable for implementation of hardware and will reduce the computing complexity. This paper designs a method of image processing based on 5/3 lifting wavelet transform and realizes the simulation on FPGA. The lifting algorithm implemented in hardware has lower computational complexity and save the memory space. The experimental results show that 5/3 lifting wavelet transform implemented on FPGA can be effective on digital image compression.