An Image Defogging Approach Based on a Constrained Energy Functional under Bayesian and Variation Theories
المؤلفون المشاركون
Zhou, Li
Bi, Du-Yan
He, Lin-Yuan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-11-05
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Hazy images produce negative influences on visual applications in the open air since they are in poor visibility with low contrast and whitening color.
Numerous existing methods tend to derive a totally rough estimate of scene depth.
Unlike previous work, we focus on the probability distribution of depth that is considered as a scene prior.
Inspired by the denoising work of multiplicative noises, the inverse problem for hazy removal is recast as deriving the optimal difference between scene irradiance and the airlight from a constrained energy functional under Bayesian and variation theories.
Logarithmic maximum a posteriori estimator and a mixed regularization term are introduced to formulate the energy functional framework where the regularization parameter is adaptively selected.
The airlight, another unknown quantity, is inferred precisely under a geometric constraint and dark channel prior.
With these two estimates, scene irradiance can be recovered.
The experimental results on a series of hazy images reveal that, in comparison with several relevant and most state-of-the-art approaches, the proposed method outperforms in terms of vivid color and appropriate contrast.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Li& Bi, Du-Yan& He, Lin-Yuan. 2015. An Image Defogging Approach Based on a Constrained Energy Functional under Bayesian and Variation Theories. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074381
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Li…[et al.]. An Image Defogging Approach Based on a Constrained Energy Functional under Bayesian and Variation Theories. Mathematical Problems in Engineering No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1074381
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Li& Bi, Du-Yan& He, Lin-Yuan. An Image Defogging Approach Based on a Constrained Energy Functional under Bayesian and Variation Theories. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1074381
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074381
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر