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一種快速的基于稀疏表示和非下采樣輪廓波變換的圖像融合算法

趙春暉 郭蘊(yùn)霆

趙春暉, 郭蘊(yùn)霆. 一種快速的基于稀疏表示和非下采樣輪廓波變換的圖像融合算法[J]. 電子與信息學(xué)報(bào), 2016, 38(7): 1773-1780. doi: 10.11999/JEIT150933
引用本文: 趙春暉, 郭蘊(yùn)霆. 一種快速的基于稀疏表示和非下采樣輪廓波變換的圖像融合算法[J]. 電子與信息學(xué)報(bào), 2016, 38(7): 1773-1780. doi: 10.11999/JEIT150933
ZHAO Chunhui, GUO Yunting. Fast Image Fusion Algorithm Based on Sparse Representation and Non-subsampled Contourlet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1773-1780. doi: 10.11999/JEIT150933
Citation: ZHAO Chunhui, GUO Yunting. Fast Image Fusion Algorithm Based on Sparse Representation and Non-subsampled Contourlet Transform[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1773-1780. doi: 10.11999/JEIT150933

一種快速的基于稀疏表示和非下采樣輪廓波變換的圖像融合算法

doi: 10.11999/JEIT150933
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61571145, 61405041),黑龍江省自然科學(xué)基金重點(diǎn)資助項(xiàng)目(ZD201216),哈爾濱市優(yōu)秀學(xué)科帶頭人資金(RC2013XK009003)

Fast Image Fusion Algorithm Based on Sparse Representation and Non-subsampled Contourlet Transform

Funds: 

The National Natural Science Foundation of China (61571145, 61405041), The Key Program of Heilongjiang Province Natural Science Foundation (ZD201216), Excellent Academic Leaders Program of Harbin (RC2013XK009003)

  • 摘要: 為了提高圖像融合的效率和質(zhì)量,該文提出一種基于快速非下采樣輪廓波變換(NSCT)和4方向稀疏表示的圖像融合算法。該方法首先對(duì)源圖像進(jìn)行快速NSCT分解,生成一系列低通和高通子帶。對(duì)于低頻子帶,利用自適應(yīng)生成的DCT過(guò)完備字典進(jìn)行快速的4方向稀疏表示和系數(shù)融合;對(duì)于高頻子帶,則利用高斯加權(quán)區(qū)域能量最大的融合規(guī)則進(jìn)行系數(shù)融合??焖貼SCT將傳統(tǒng)NSCT的樹(shù)形濾波結(jié)構(gòu)轉(zhuǎn)變?yōu)槎嗤ǖ罏V波結(jié)構(gòu),能成倍提高分解效率;快速的稀疏融合則拋棄了傳統(tǒng)的滑動(dòng)窗口方法,以水平、垂直、對(duì)角線(xiàn)4個(gè)方向進(jìn)行稀疏表示和稀疏融合,進(jìn)一步提高算法效率。實(shí)驗(yàn)結(jié)果表明,提出的快速算法能在不影響融合質(zhì)量的條件下將算法效率提高近20倍。
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出版歷程
  • 收稿日期:  2015-08-13
  • 修回日期:  2016-04-07
  • 刊出日期:  2016-07-19

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