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ENGL
2007

Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding

8 years 10 months ago
Adaptive Wavelet-based-CMAC Network Predictor Design for Lossless Image Coding
— In this paper, we propose a novel wavelet-based-CMAC (WCMAC) network for predictive image coding. The Gaussian functions of traditional CMAC are replaced by wavelet functions. In addition, properties and advantages of fuzzy TSK- model are used to modify the activation functions of CMAC for obtaining high approximation accuracy and convergent rate. The WCMAC is employed to predict differential pulse code modulation (DPCM) of image compression. The WCMAC predictor can not only have accurate prediction, but also rather study and adapt to various and constant changing data. Experimental results and comparisons with other state-of-the-art lossless predictors are given to highlight the advantages of the proposed approach.
Ching-Hung Lee, Bo-Hang Wang
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where ENGL
Authors Ching-Hung Lee, Bo-Hang Wang
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