A fusion-based enhancing method for weakly illuminated images
作者: Xueyang FuDelu ZengYue HuangYinghao LiaoXinghao DingJohn Paisley
作者单位: 1Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China
2Department of Electrical Engineering, Columbia University, New York, NY, USA
刊名: Signal Processing, 2016, Vol.129 , pp.82-96
来源数据库: Elsevier Journal
DOI: 10.1016/j.sigpro.2016.05.031
关键词: Image enhancementMulti-scale fusionWeakly illuminationWeightsIllumination adjustment
原始语种摘要: Abstract(#br)We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques. First, we employ an illumination estimating algorithm based on morphological closing to decompose an observed image into a reflectance image and an illumination image. We then derive two inputs that represent luminance-improved and contrast-enhanced versions of the first decomposed illumination using the sigmoid function and adaptive histogram equalization. Designing two weights based on these inputs, we produce an adjusted illumination by fusing the derived inputs with the corresponding weights in a multi-scale fashion. Through a proper weighting and fusion strategy, we blend the advantages of different techniques to...
全文获取路径: Elsevier  (合作)
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影响因子:1.851 (2012)

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