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细节保持的快速曝光融合 被引量:5

Fast detail-preserving exposure fusion
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摘要 为了获取多曝光图像序列中高动态范围的目标信息,提出一种快速的曝光融合算法.提出兼顾局部细节和全局亮度的融合权重函数.在较少时间代价的前提下,提出先下采样再上采样的权重函数计算方法,一方面更多地保留局部细节,另一方面消除像素级融合导致的光晕现象.利用导向滤波器去除上采样引入的块效应.通过10组多曝光图像序列验证算法的有效性,并将提出算法与3种典型的曝光融合算法进行对比.实验对比结果表明:该算法具有最强的细节保持能力,可以同时兼顾目标场景的全局亮度分布.量化对比结果表明:该算法可以获得较好的融合效果并且时间代价较小. A fast exposure fusion method was proposed to obtain high dynamic range target information from multi-exposure sequence. A new weight map was proposed, which gave consideration to both local details and global brightness. Secondly, on the premise of small time cost, a down-up-sampling computing method for the weight map was proposed, which could preserve local details well and eliminate artificial halos caused by pixel level fusion. And then, guided filter was used to remove the block artifact caused by up-sampling. The validity of the proposed fusion method was demonstrated by ten multi-exposure sequences, and the proposed fusion method was contrasted with three typicals of fusion algorithms. The experimental results show that the proposed fusion method has strongest retention capacity of the local details and the global brightness distribution of target scene. The quantitative comparison results show that the proposed method achieves better fusion qualiity, meanwhile, and the time cost is pretty small.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2015年第6期1048-1054,共7页 Journal of Zhejiang University:Engineering Science
基金 国家自然科学基金资助项目(61275021)
关键词 多曝光技术 图像融合 导向滤波 高动态范围 multi-exposure image fusion guided filter high dynamic range
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参考文献16

  • 1RAMIREZ O R, MARTIN I, LOSCOS C, et al. Full high-dynamic range images for dynamic scenes [C]// SPIE Photonics Europe International Society for Optics and Photonics, San Diego: SPIE, 2012: 116.
  • 2REINHARD E, STARK M, SHIRLEY P, et al. Photographic tone reproduction for digital images [J]. ACM Transactions on Graphics (TOG), 2002, 21(3): 267-276.
  • 3ROBERTSON M A, BORMAN S, STEVENSON R L. Dynamic range improvement through multiple exposures[C] // International Conference on Image Processing. Kobe: IEEE, 1999: 159-163.
  • 4MERTENS T, KAUTZ J, Van REETH F. Exposure fusion: a simple and practical alternative to high dynamic range photography[J]. Computer Graphics Forum, 2009, 28(1): 161-171.
  • 5DEBEVEC P E, MALIK J. Recovering high dynamic range radiance maps from photographs[C] // ACM SIGGRAPH 97, [S.l.]: ACM, 1997: 369-378.
  • 6DURAND F, DORSEY J. Fast bilateral filtering for the display of high-dynamic-range images [J]. ACM Transaction on Graphics (TOG), 2002, 21(3): 257-266.
  • 7GROSSBERG M D, NAYAR S K. Determining the camera response from images: what is knowable [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(11): 1455-1467.
  • 8BANTERLE F, ARTUSI A, SIKUDOVA E, et al. Dynamic range compression by differential zone mapping based on psychophysical experiments[C] // Proceeding of the ACM Symposium on Applied Perception. Los Angeles: ACM, 2012: 39-46.
  • 9VAVILIN A, JO K. Recursive HDR image generation from differently exposed images based on local image properties [C] // International Conference on Control, Automation and Systems. Seoul: IEEE, 2008: 2791-2796.
  • 10LI S, KANG X. Fast multi-exposure image fusion with median filter and recursive filter [J]. IEEE Transactions on Consumer Electronics, 2012, 58(2): 626-632.

二级参考文献55

  • 1JOEL L, MASHA M. Comparing multispectral image fusion methods for a target detection task[J].Optical Engineering, 46(6), 066402: 1- 8.
  • 2CHEN Feng-rui, GUAN Ze-qun, YANG Xian-kun, et al. A novel remote sensing image fusion method based on independent component analysis [J].International Journal of Remote Sensing, 2011, 32(10) : 2745 - 2763.
  • 3QU Gui-hong, ZHANG Da-li, YAN Ping-fan. Medical image fusion by wavelet transform modulus maxima [J]. Optics Express, 2001,9(4) :184 - 190.
  • 4SABAI.AN D, HASSAN G. MRI and PET images fu- sion based on human retina Model [J]. Journal of Zhe- jiang University :ScienceA, 2007, 8(10) : 1624 - 1632.
  • 5SADHASIVAM S K, KEERTHIVASAN M B. Imple- mentation of max principle with PCA in image fusion for surveillance and navigation application[J].Electronic Letters of Computer Vision and Image Analysis, 2011, 10 (1):1 -10.
  • 6XIAO Zhang-shu, ZHENG Chong-xun. Image fusion scheme by combining local image structures and directive contrasts [J].Optical Engineering, 2011, 50(7): 77005.
  • 7BAI Xiang-zhi, ZHOU Fu-gen, XUE Bin-dang. Edge preserved image fusion based on multiscale toggle con- trast operator [J]. Image and Vision Computing, 2011, 29(12) : 829 - 839.
  • 8BAI Xiang-zhi, ZHOU Fu-gen, XUE Bin-dang. Fusion of infrared and visual images through region extraction by using multi scale center-surround top-hat transform [J].Optics Express,2011, 19(9) ;8444 - 8457.
  • 9WAN T, CANAGARAJAH N, ACHIM A. Segmenta- tion-driven image fusion based on alpha-stable modeling ~f wavelet coefficients [J].IEEE Transactions on Multi- media, 2009, 11(4): 624-633.
  • 10HONG Ri-chang, WANG Chao, WANG Meng, et al. Salience preserving multi focus image fusion with dy- namic range compression [J]. International Journal of Innovative Computing, Information and Control, 2009, 5(8) : 2369 - 2380.

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