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Variational infrared image enhancement based on adaptive dual-threshold gradient field equalization
Zhao W. D.; Xu Z. J.; Zhao J.; Zhao F.; Han X. Z.
2014
发表期刊Infrared Physics & Technology
ISSNISBN/1350-4495
期号66页码:152-159
摘要Infrared images are characterized by low signal to noise ratio (SNR) and fuzzy texture edges. This article introduces the variational infrared image enhancement algorithm based on gradient field equalization with adaptive dual thresholds. Firstly, we transform the image into gradient domain and get the gradient histogram. Then, we do the gradient histogram equalization. By setting adaptive dual thresholds to qualify the gradients, the image is prevented from over enhancement. The total variation (TV) model is adopted in the reconstruction of the enhanced image to suppress noise. It is shown from experimental results that the image edge details are significantly enhanced, and therefore the algorithm is qualified for enhancement of infrared images in different applications. (C) 2014 Elsevier B.V. All rights reserved.
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44504
专题中科院长春光机所知识产出
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Zhao W. D.,Xu Z. J.,Zhao J.,et al. Variational infrared image enhancement based on adaptive dual-threshold gradient field equalization[J]. Infrared Physics & Technology,2014(66):152-159.
APA Zhao W. D.,Xu Z. J.,Zhao J.,Zhao F.,&Han X. Z..(2014).Variational infrared image enhancement based on adaptive dual-threshold gradient field equalization.Infrared Physics & Technology(66),152-159.
MLA Zhao W. D.,et al."Variational infrared image enhancement based on adaptive dual-threshold gradient field equalization".Infrared Physics & Technology .66(2014):152-159.
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