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(lái)?yè)k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(wèi)了排除遙感圖像中的對(duì)比度和顔色的不同以及少量的紋理，採(cǎi)用了一種侷部自相似描述子來(lái)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(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(lái)作爲(wèi)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(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(lái)作爲(wèi)圖像的侷部自相似性的度量。