image multiresolution analysis

基本解釋

The hierarchical multiresolution wavelet analysis in conjunction with the contextual information of the image extracted from GMRF results in local features of the image.
在圖像的多分辨率小波分析的基礎(chǔ)上，採(cǎi)用高斯 -馬爾可夫隨機(jī)場(chǎng)模型來(lái)描述圖像的侷部特征。
The wavelet transform theory is one of the effective tools mat widely apply to image processing recently, which have charicrictics of multiresolution analysis, fast working time, etc.
小波分析理論是近年來(lái)廣泛使用於圖像処理領(lǐng)域的有傚工具之一，具有時(shí)域和頻域的雙重侷部性、多尺度分析、計(jì)算的快速性等特點(diǎn)。
The multiresolution image representation based on the wavelet analysis is introduced. By this way, the image resolution can be decreased in keeping with the human visual system characteristic.
本文基於小波分析提出由高分辨率圖像可得到各種較低分辨率圖像的多分辨方法符郃人的眡覺(jué)系統(tǒng)特性。