在卫星图像分类编码应用中，我们发现其编码效率体现的不明显。
However, we found that it is not apparently efficient for the original VSC to be applied to satellite image coding.
新算法采用分类码书设计和残留编码，大大提高了图像的客观指标和主观视觉效果。
The new algorithm, including the sorting codebook design and the remains coding, greatly improves the objective level and the subjective visual impression.
本文提出了图像EZW编码中一种新的分类算法。
This paper introduces an improved classification algorithm of wavelet coefficients in image coding using EZW.
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。
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.
针对分形图像压缩中矩形划分计算量太大的问题，提出了一种混合分类方法并将其应用于图像的矩不变量，得到了一种基于矩形划分的快速分形编码方法。
Aiming at the question that the computational complexity of HV partition is great in fractal image compressing, a hybrid classification method was proposed and it was used on mass center of image.
该方法利用原图像的均值图像设计编码码书，利用高阶统计量对域块进行分类，可以有效地减少域池中域块之间的相关性。
This method USES the mean image to generate the domain pool, then, classes the domain blocks according to their high order statistics.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
该文指出图像数据分类对矢量量化技术进行图像压缩编码的重要性。
This paper presents the importance of source classification to image data compression with vector quantization technique. Also, an image data classifying method is given.
该文指出图像数据分类对矢量量化技术进行图像压缩编码的重要性。
This paper presents the importance of source classification to image data compression with vector quantization technique. Also, an image data classifying method is given.
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