A Cascaded Algorithm for Image Quality Assessment and Image Denoising Based on CNN for Image Security and Authorization
المؤلفون المشاركون
Chang, Chin-Chen
Mao, Xiaoyang
Li, Jianjun
Yu, Jie
Xu, Lanlan
Xue, Xinying
Hu, Junfeng
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-17
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
With the rapid development of Internet technology, images on the Internet are used in various aspects of people’s lives.
The security and authorization of images are strongly dependent on image quality.
Some potential problems have also emerged, among which the quality assessment and denoising of images are particularly evident.
This paper proposes a novel NR-IQA method based on the dual convolutional neural network structure, which combines saliency detection with the human visual system (HSV), used as a weighting function to reflect the important distortion caused by the local area.
The model is trained using gray and color features in the HSV space.
It is applied to the parameter selection of an image denoising algorithm.
The experiment proves that our proposed method can accurately evaluate image quality in the process of denoising.
It provides great help in parameter optimization iteration and improves the performance of the algorithm.
Through experiments, we obtain both improved image quality and a reasonable result of subject assessment when the cascaded algorithm is applied in image security and authorization.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Jianjun& Yu, Jie& Xu, Lanlan& Xue, Xinying& Chang, Chin-Chen& Mao, Xiaoyang…[et al.]. 2018. A Cascaded Algorithm for Image Quality Assessment and Image Denoising Based on CNN for Image Security and Authorization. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214422
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Jianjun…[et al.]. A Cascaded Algorithm for Image Quality Assessment and Image Denoising Based on CNN for Image Security and Authorization. Security and Communication Networks No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1214422
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Jianjun& Yu, Jie& Xu, Lanlan& Xue, Xinying& Chang, Chin-Chen& Mao, Xiaoyang…[et al.]. A Cascaded Algorithm for Image Quality Assessment and Image Denoising Based on CNN for Image Security and Authorization. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1214422
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214422
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