contourlet

基本解釋

Image denoise based on inter-scale correlations of Contourlet transform[J].
引用該論文郁梅;易文娟;蔣剛毅.
Tree type data in Contourlet domain of images are used as inputs of SOMs so as to utilize geometric features of images.
用圖像輪廓波變換域中的樹狀數(shù)據(jù)作為網(wǎng)絡(luò)輸入，以利用圖像的幾何特征來提高分割效果。
Sample noise response method used to determine subband threshold factors of contourlet transform denoising is proposed.
摘要提出了適用于輪廓波變換消噪中確定子帶閾值收斂因子的樣本噪聲響應(yīng)法。
The post-processing can be carried out by adaptive Wiener filtering followed subband hard threshold in contourlet domain.
并在輪廓波域進(jìn)行子帶硬閾值處理之后，使用自適應(yīng)維納濾波進(jìn)行后處理。
First, SFLCT, instead of the original contourlet, is utilized as the multiscale transform to decompose the source multifocus images into subbands.
首先，采用SFLCT而不是原始的Contourlet對多聚焦圖像進(jìn)行分解。