算法设计（图像压缩）.doc
图像压缩是指用较少的比特对原始像素进行有损或无损的表示，也称为图像编码。从数学的角度来看，这个过程实际上是将一个二维数组转化为一个统计上不显着的关联数据的集合。常用的图像压缩基本原理： 1.利用数字图像的相关性。运动图像的相邻帧的对应像素之间有很强的相关性。如果去除这些相关性，就可以实现图像的压缩。正常情况下，人的视觉对边缘的剧烈变化不敏感，颜色的分辨力较弱。使用它来实现图像压缩。
(Image compression refers to the lossy or lossless representation of the original pixels with fewer bits, also known as image coding. From a mathematical point of view, this process is actually transforming a two-dimensional array into a set of statistically insignificant associated data.
Common basic principles of image compression: 1 Use the correlation of digital images. There is a strong correlation between the corresponding pixels of the adjacent frames of the moving image. If these correlations are removed, image compression can be realized. Under normal circumstances, human vision is insensitive to sharp changes in the edge, and the color resolution is weak. Use it to achieve image compression.)
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