With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性，提出一种基于分类的小波域内的分形图像编码方法。
We firstly overview the properties of fractal coding in image domain, then we derive the corresponding formula of scaling factor and offset of affine transform in DCT domain.
首先，综述了图像域中分形编码的特性，然后导出在离散余弦变换(简称DCT)域中仿射变换的伸缩因子和偏移量的对应公式。
The image damage by transform coefficients quantization in ID-DCT transform compression coding is analysed on frequency domain and space domain. Some useful results are obtained.
本文对一维DCT变换压缩编码中变换域系数二次量化引起的图象损伤进行了频域和空间域分析，得出了一些有用的结论。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
We use this technique for image coding in the wavelet transform domain and get a satisfactory simulation result.
文中应用失显量化法量化图象于波域数据，取得较满意的压缩效果。
We use this technique for image coding in the wavelet transform domain and get a satisfactory simulation result.
文中应用失显量化法量化图象于波域数据，取得较满意的压缩效果。
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