local self-similarity

基本解釋

The principle of fractal image compression is that local self-similarity form a Local Iterated Function System.
圖像分形壓縮的原理是利用圖像中的局部自相似性來構(gòu)造局部迭代函數(shù)系統(tǒng)。
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.
為了排除遙感圖像中的對比度和顏色的不同以及少量的紋理，采用了一種局部自相似描述子來表示局部的形狀特征。
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.
在圖像分形編碼結(jié)果的所有元素中，拼貼誤差最直觀地表現(xiàn)了值域塊與其最優(yōu)匹配塊之間的相似程度，因而我們選用它來作為圖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.
在圖像分形編碼結(jié)果的所有元素中,拼貼誤差最直觀地表現(xiàn)了值域塊與其最優(yōu)匹配塊之間的相似程度,因而我們選用它來作為圖像的局部自相似性的度量。