In this paper, the condition of compression transform is discussed, then theconception of xn-compression is presented, and a series of conclusions that checkif the transform is compression are obtained.
本文讨论了压缩变换的条件，在带灰度的压缩变换中，提出x_n-压缩的概念，并得到一系列检验是否为压缩映射的定理和结论。
参考来源 - 分形图像压缩的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The quantization step is the actual information-losing step where compression occurs; the output values of transform are rounded, mostly to zero, leaving only a few integer coefficients.
量化步骤会进行实际的压缩动作，部分信息会丢失。转换步骤的输出值经过取整，大部分是零，只留下几个整数系数。
The system uses CCD for getting digital image, uses a 16 bit fix-point DSP to perform fast discret cosine transform(DCT) arithmetic and image encoding and realizes a fast image compression in end.
系统使用CCD获取原始数字图像数据，采用快速算法实现了核心的二维DCT变换，经过编码后，在一个16位定点DSP上实现了快速图像压缩。
The proposed transform could represent the geometrical features such as edges and texture more sparsely, which is of great benefit to image compression.
多方向多尺度变换能以更稀疏的方式表示图像的边缘和纹理等几何特征，有利于图像压缩。
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