標題: Adaptive self-quantization in wavelet-based fractal image compression
作者: Wu, BF
Hu, YQ
Hsu, HH
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 1-五月-1999
摘要: Finding a model to quantize the scale factors in wavelet-based fractal image compression is a complicated issue. To avoid error, it is helpful to model the distribution of the scale factors and quantize them before the computation process by iterated function systems. Traditionally, a fixed model with uniform distribution was frequently adopted. This is not sophisticated enough, however, to quantize these scale factors from errors since, in general, the factors are not uniformly distributed. We propose an adaptive algorithm with self-quantization to overcome this drawback. Except for the functions of adaptation and self-quantification, the approach has the optimal property that the fundamental objective is to reduce the quantization errors.
URI: http://hdl.handle.net/11536/31359
ISSN: 0020-7721
期刊: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume: 30
Issue: 5
起始頁: 541
結束頁: 549
顯示於類別:期刊論文


文件中的檔案:

  1. 000080421900010.pdf