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基于對比度增強(qiáng)與多尺度邊緣保持分解的紅外與可見光圖像融合

朱浩然 劉云清 張文穎

朱浩然, 劉云清, 張文穎. 基于對比度增強(qiáng)與多尺度邊緣保持分解的紅外與可見光圖像融合[J]. 電子與信息學(xué)報(bào), 2018, 40(6): 1294-1300. doi: 10.11999/JEIT170956
引用本文: 朱浩然, 劉云清, 張文穎. 基于對比度增強(qiáng)與多尺度邊緣保持分解的紅外與可見光圖像融合[J]. 電子與信息學(xué)報(bào), 2018, 40(6): 1294-1300. doi: 10.11999/JEIT170956
ZHU Haoran, LIU Yunqing, ZHANG Wenying. Infrared and Visible Image Fusion Based on Contrast Enhancement and Multi-scale Edge-preserving Decomposition[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1294-1300. doi: 10.11999/JEIT170956
Citation: ZHU Haoran, LIU Yunqing, ZHANG Wenying. Infrared and Visible Image Fusion Based on Contrast Enhancement and Multi-scale Edge-preserving Decomposition[J]. Journal of Electronics & Information Technology, 2018, 40(6): 1294-1300. doi: 10.11999/JEIT170956

基于對比度增強(qiáng)與多尺度邊緣保持分解的紅外與可見光圖像融合

doi: 10.11999/JEIT170956

Infrared and Visible Image Fusion Based on Contrast Enhancement and Multi-scale Edge-preserving Decomposition

  • 摘要: 在低照度環(huán)境下拍攝的可見光圖像可視性較差,若將其與紅外圖像直接融合會(huì)導(dǎo)致融合結(jié)果清晰度不理想。針對這一問題,該文提出一種基于對比度增強(qiáng)與多尺度邊緣保持分解的圖像融合方法。首先,在融合之前采用基于導(dǎo)向?yàn)V波的自適應(yīng)增強(qiáng)算法提高可見光圖像中暗區(qū)內(nèi)容的可視性。其次,通過一種尺度感知邊緣保持濾波器對輸入圖像進(jìn)行多尺度分解。再次,應(yīng)用頻率調(diào)諧濾波構(gòu)造顯著圖。最后,利用由導(dǎo)向?yàn)V波生成的權(quán)重圖重構(gòu)融合圖像。實(shí)驗(yàn)結(jié)果表明,所提方法不僅可以使細(xì)節(jié)信息更突出,而且還能夠有效地抑制偽影。
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出版歷程
  • 收稿日期:  2017-10-18
  • 修回日期:  2018-01-15
  • 刊出日期:  2018-06-19

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