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篇名
Image Compression Based on Wavelet Transform with Fuzzy Inference
作者 Yao-Tien Chen (Yao-Tien Chen)
英文摘要
A quantization method based on fuzzy inference filter is proposed. First, the original image is decomposed to obtain wavelet coefficients. Second, a fuzzy inference filter is used to non-uniformly determine whether a wavelet tree contains higher entropy energy. A general if-then-else structure is utilized to model the fuzzy rule, and an energy tree is then obtained by the entropy energy which is concern of the basic fuzzy rules affected. Finally, we use energy tree for both VQ and SQ quantization. The proposed approach occupies a lot of characteristics, in terms of fuzzy justification, energy tree, scalar quantization, progressive transmission, and vector quantization; thus, an optimal quantization is obtained for lossy data compression. Experiments show that both VQ and SQ can achieve high compression ratio and lower distortion.
起訖頁 4-8
關鍵詞 fuzzy inferencevector quantizationscalar quantizationenergy treeprogressive transmission
刊名 影像處理暨通訊期刊  
期數 201512 (7:1期)
出版單位 元培醫事科技大學行動科技應用系
該期刊-上一篇 Using PSO to solve production scheduling and vehicle routing problem
該期刊-下一篇 A Computer-Aided Diagnosis System for Lung Cancer Examination
 

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