Image fusion using adaptive dual-tree discrete wavelet packets based on the noise distribution estimation - 文章详情页

作者：

Fang, Liu (Fang, Liu.) | Biao, Yang (Biao, Yang.) | Li, Kai Gang (Li, Kai Gang.)

收录：

EI Scopus

摘要：

The　image　fusion　algorithm　based　on　adaptive　dual-tree　discrete　wavelet　packets(ADDWP)　which　combine　the　dual-tree　discrete　wavelet　transform(DDWT)　and　the　wavelet　packets　is　proposed　in　this　paper.　In　ADDWP,　DDWT　subbands　are　further　decomposed　into　wavelet　packets　with　anisotropic　decomposition,　so　that　the　resulting　wavelets　have　elongated　support　regions　and　more　orientations　than　DDWT　wavelets.　To　determine　the　decompoisition　structure,　we　using　the　signal-to-noise　ratio　to　estimate　the　distributing　of　the　denoising　in　order　to　search　the　more　denoising　subbands　to　decomposition　it　again.　So　we　can　get　adaptive　decompoisition　structure　of　wavelet　packets.　The　new　algorithm　has　significantly　lower　computational　complexity.　The　proposed　fusion　scheme　gives　better　performance.　©　2012　IEEE.

关键词：

Acoustic noise Discrete wavelet transforms Image fusion Image processing Signal to noise ratio Trees (mathematics) Wavelet analysis Wavelet decomposition

作者机构：

[ 1 ] [Fang, Liu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Biao, Yang]Department of Automation, North China University of Technology, Beijing, 100041, China
[ 3 ] [Li, Kai Gang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

通讯作者信息：

电子邮件地址：

liufang@bjut.edu.cn

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