摘要
指出了为改善分形图像编码的压缩性能 ,可使用无需搜索或无需母块分类的小波分形编码 .提出了一种新的不同于以前的分割方法 ,它能进一步改善压缩性能 .基于小波的分形变换 (WBFT)结合了多尺度分析理论(MRA)和迭代函数理论 (IFS) .这不仅提供了用多尺度表示的图像的局部时 -频分析 ,也使用了 IFS和固定点理论迭代构成了图像 .一组实验和仿真展示了对均匀量化的图像编码使用 WBFT后的性能 .
The compression performance of fractal image coding is considered using the wavelet based fractal coder with no search or classification of the domain blocks. A new partitioning scheme is introduced as a variant of earlier schemes which further improves the compression performance. The wavelet based fractal transform (WBFT) links the theory of multiresolution analysis (MRA) with iterated function systems (IFS). This not only provides a local time frequency analysis on (the partitions of ) the image using multiresolution representation but also an iterative construction of the same (partitions of) the image using IFS and fixed point theory. A set of experiments and simulations show the potentials of using the WBFT for image coding after uniform quantization .
出处
《中南民族大学学报(自然科学版)》
CAS
2002年第3期30-32,36,共4页
Journal of South-Central University for Nationalities:Natural Science Edition