电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2012年
8期
4-6,9
,共4页
图像融合%曲波变换%邻域能量%匹配度
圖像融閤%麯波變換%鄰域能量%匹配度
도상융합%곡파변환%린역능량%필배도
image fusion%curvelet transform%neighboring region energy%matching degree
提出一种基于邻域匹配度和能量加权平均的多源遥感图像曲波变换融合方法。对低分辨率的多光谱图像和高分辨率的全色图像作曲波变换,融合图像的曲波系数中的低频分量取自多光谱图像的低频分量。求两幅图像高频系数邻域内的匹配度,与阈值相比较,根据比较结果分别采用不同方法确定高频系数。对生成系数进行逆曲波变换后得到融合图像。实验表明融合后的图像清晰度和光谱性得到有效提高。
提齣一種基于鄰域匹配度和能量加權平均的多源遙感圖像麯波變換融閤方法。對低分辨率的多光譜圖像和高分辨率的全色圖像作麯波變換,融閤圖像的麯波繫數中的低頻分量取自多光譜圖像的低頻分量。求兩幅圖像高頻繫數鄰域內的匹配度,與閾值相比較,根據比較結果分彆採用不同方法確定高頻繫數。對生成繫數進行逆麯波變換後得到融閤圖像。實驗錶明融閤後的圖像清晰度和光譜性得到有效提高。
제출일충기우린역필배도화능량가권평균적다원요감도상곡파변환융합방법。대저분변솔적다광보도상화고분변솔적전색도상작곡파변환,융합도상적곡파계수중적저빈분량취자다광보도상적저빈분량。구량폭도상고빈계수린역내적필배도,여역치상비교,근거비교결과분별채용불동방법학정고빈계수。대생성계수진행역곡파변환후득도융합도상。실험표명융합후적도상청석도화광보성득도유효제고。
An efficient method of image fusion based on Energy and matching degree of curvelet coefficients neighboring region is proposed in this paper.Firstly,the multi-spectral and high resolution images are decomposed by curvelet transform.Then the curvelet coefficients of the fused image can be obtained by using different rules.The approximate coefficients come from the multispectral image,and the detail coefficient is based on the matching degree and Energy of neighboring region.Finally,the fused image is obtained by inverse curvelet transform.The experiment results show that the average gradient and preserve spectrum index commendably improved a lot.
