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Towards a better compression of self similar images. II. Proofing the edge maxima matching algorithm for the IFS encoding of affine self similar binary images

机译:为了更好地压缩自相似图像。二。仿射自相似二进制图像的IFS编码的边缘最大值匹配算法的证明

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An iterated function system (IFS) is a set of affine and contractive transformations. The union (so-called collage) of the subimages generated by transforming the whole image produces the image again. In the edge maxima matching algorithm the IFS-codes for a single image are calculated by affinely mapping maxima of the edge of the entire image to the corresponding maxima of the edge of each of the subimages. The three principle ideas of this algorithm to be proofed are as follows: the decomposition of the image in a minimal set of subimages is found by two adjacent edge points (so-called touching points of a subimage). These touching points are recognized by being the only points which have no affine and expanded equivalent in the image. A unique representation for each of the subimages is found by choosing the most expanded affine mappings of four edge extremes to characterise each of these image parts. An affine mapping (the IFS-code) between the image and the subimages is calculated by using an affine invariant representation through such quadruples of edge extremes.
机译:迭代功能系统(IFS)是一组仿射和压缩变换。通过转换整个图像而生成的子图像的并集(所谓的拼贴)再次产生了图像。在边缘最大值匹配算法中,通过将整个图像边缘的最大值仿射映射到每个子图像边缘的相应最大值来计算单个图像的IFS代码。该算法待证明的三个原理如下:最小子图像集中的图像分解是由两个相邻的边缘点(子图像的所谓接触点)发现的。通过识别这些接触点是仅有的在图像中没有仿射和扩展的等效点的点。通过选择四个边缘极值的最扩展仿射映射来表征每个图像,可以找到每个子图像的唯一表示。图像和子图像之间的仿射映射(IFS代码)是通过使用此类边缘极点四倍的仿射不变表示来计算的。

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