Multiframe Superresolution Reconstruction Based on Self-Learning Method
المؤلفون المشاركون
Mu, Shao-Shuo
Zhang, Ye
Jia, Ping
Yang, Xun
Qiu, Xiao-Feng
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-08-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
One category of the superresolution algorithms widely used in practical applications is dictionary-based superresolution algorithms, which constructs a single high-resolution (HR) and high-clarity image from multiple low-resolution (LR) images.
Despite the fact that general dictionary-based superresolution algorithms obtain redundant dictionaries from numerous HR-LR images, HR image distortion is unavoidable.
To solve this problem, this paper proposes a multiframe superresolution reconstruction based on self-learning methods.
First, multiple images from the same scene are selected to be both input and training images, and larger-scale images, which are also involved in the training set, are constructed from the learning dictionary.
Then, different larger-scale images are constructed via repetition of the first step and the initial HR sets whose scale closely approximates that of the target HR image are finally obtained.
Lastly, initial HR images are fused into one target HR image under the NLM idea, while the IBP idea is adopted to meet the global constraint.
The simulation results demonstrate that the proposed algorithm produces more accurate reconstructions than those produced by other general superresolution algorithms, while, in real scene experiments, the proposed algorithm can run well and create clearer HR images from input images captured by cameras.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mu, Shao-Shuo& Zhang, Ye& Jia, Ping& Yang, Xun& Qiu, Xiao-Feng. 2015. Multiframe Superresolution Reconstruction Based on Self-Learning Method. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073146
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mu, Shao-Shuo…[et al.]. Multiframe Superresolution Reconstruction Based on Self-Learning Method. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1073146
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mu, Shao-Shuo& Zhang, Ye& Jia, Ping& Yang, Xun& Qiu, Xiao-Feng. Multiframe Superresolution Reconstruction Based on Self-Learning Method. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1073146
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073146
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