高技术通讯（英文版）2004，Vol.10Issue(2)：38-41,4.
A New Approach for Lossless Image Compression Based on Fuzzy Adaptive Prediction
A New Approach for Lossless Image Compression Based on Fuzzy Adaptive Prediction
摘要
Abstract
This paper proposes a novel approach for image lossless compression based on fuzzy logic and adaptive prediction. By a flexible strategy, the method can acquire a set of original predictors describing the more detail characteristic. Using a neural network, the proposed method can more efficiently organize the training of original predictors and implement adaptive prediction in fuzzy style. In entropy coding phase, the context-based conditional adaptive arithmetic encoding is adopted. The experiments demonstrate the characteristics make the approach achieve good tradeoff between computational complexity and efficiency of prediction and good performance for lossless compression.关键词
adaptive regressive prediction/fuzzy logic/context-based conditional arithmetic code/FOSART neural networkKey words
adaptive regressive prediction/fuzzy logic/context-based conditional arithmetic code/FOSART neural network分类
信息技术与安全科学引用本文复制引用
Wu Yingqian(吴颖谦),Fang Tao,Shi Pengfei..A New Approach for Lossless Image Compression Based on Fuzzy Adaptive Prediction[J].高技术通讯（英文版）,2004,10(2):38-41,4.基金项目
Supported by the High Technology Research and Development Programme of China. （）
