激光与红外
激光與紅外
격광여홍외
LASER & INFRARED
2014年
3期
339-342
,共4页
图像融合%多尺度分解%邻域统计%融合规则
圖像融閤%多呎度分解%鄰域統計%融閤規則
도상융합%다척도분해%린역통계%융합규칙
image fusion%multi-scale decomposition%neighbor statistic%fusion rules
针对红外图像与可见光图像的融合问题，提出了一种基于邻域统计信息的图像融合新算法。首先对图像进行多尺度分解，得到一系列子带系数，然后针对各子带系数的物理特性，提出了高低频规则不同的图像融合算法。对于图像低频部分，首先定义基于邻域统计信息的目标和场景特征参数，然后设计了加权系数自适应变化的加权平均融合策略；对于图像高频部分，首先定义邻域系数分布特征参数，然后设计了受邻域统计信息调制的系数比较取大融合策略。实验结果表明该算法能够很好地将红外图像与可见光图像进行融合，且融合效果优于其他一些算法。
針對紅外圖像與可見光圖像的融閤問題，提齣瞭一種基于鄰域統計信息的圖像融閤新算法。首先對圖像進行多呎度分解，得到一繫列子帶繫數，然後針對各子帶繫數的物理特性，提齣瞭高低頻規則不同的圖像融閤算法。對于圖像低頻部分，首先定義基于鄰域統計信息的目標和場景特徵參數，然後設計瞭加權繫數自適應變化的加權平均融閤策略；對于圖像高頻部分，首先定義鄰域繫數分佈特徵參數，然後設計瞭受鄰域統計信息調製的繫數比較取大融閤策略。實驗結果錶明該算法能夠很好地將紅外圖像與可見光圖像進行融閤，且融閤效果優于其他一些算法。
침대홍외도상여가견광도상적융합문제，제출료일충기우린역통계신식적도상융합신산법。수선대도상진행다척도분해，득도일계열자대계수，연후침대각자대계수적물리특성，제출료고저빈규칙불동적도상융합산법。대우도상저빈부분，수선정의기우린역통계신식적목표화장경특정삼수，연후설계료가권계수자괄응변화적가권평균융합책략；대우도상고빈부분，수선정의린역계수분포특정삼수，연후설계료수린역통계신식조제적계수비교취대융합책략。실험결과표명해산법능구흔호지장홍외도상여가견광도상진행융합，차융합효과우우기타일사산법。
Aiming at the fusion problem of infrared and visible images with the same scene,a novel fusion algorithm based on neighbor statistic information is proposed.Firstly the source images are multi-scale decomposed,then many subband coefficients are obtained.Fusion methods of different fusion rules at high and low frequency are presented ac-cording to the physical characteristics of each subband coefficient.For the low frequency subband coefficients,the tar-get and scene parameters based on neighbor statistic information are defined,and a weighted average fusion strategy with weighted coefficient adaptive variation is designed.For the high frequency subband coefficients,the neighborhood distribution characteristics parameter is defined,and a fusion strategy of coefficient comparison with neighbor statistic information modulation is designed.The experimental results show that the proposed algorithm can fuse infrared and visible images well.
