local self-similarity

基本解释

The principle of fractal image compression is that local self-similarity form a Local Iterated Function System.
图像分形压缩的原理是利用图像中的局部自相似性来构造局部迭代函数系统。
In order to remove the effects of difference in contrast, color and a small amount of texture, local self-similarity descriptors were used to describe local shape features.
为了排除遥感图像中的对比度和颜色的不同以及少量的纹理，采用了一种局部自相似描述子来表示局部的形状特征。
We choose collage error as local self-similarity evaluation of the image, because collage error visually represents the similarity between value range blocks and optimal matching blocks.
在图像分形编码结果的所有元素中，拼贴误差最直观地表现了值域块与其最优匹配块之间的相似程度，因而我们选用它来作为图像的局部自相似性的度量。

局部自相似性
We choose collage error as local self-similarity evaluation of the image, because collage error visually represents the similarity between value range blocks and optimal matching blocks.
在图像分形编码结果的所有元素中,拼贴误差最直观地表现了值域块与其最优匹配块之间的相似程度,因而我们选用它来作为图像的局部自相似性的度量。