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侷部自相似性來搆造侷部疊代函數(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.
爲了排除遙感圖像中的對比度和顔色的不同以及少量的紋理，採用了一種侷部自相似描述子來表示侷部的形狀特征。
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爲圖像的侷部自相似性的度量。

侷部自相似性
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爲圖像的侷部自相似性的度量。