Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization
المؤلفون المشاركون
Guan, Qiu
Zhao, Yanwei
Wang, Wan Liang
Yang, Ping
Zheng, Jianwei
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-07
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
In image denoising (IDN) processing, the low-rank property is usually considered as an important image prior.
As a convex relaxation approximation of low rank, nuclear norm-based algorithms and their variants have attracted a significant attention.
These algorithms can be collectively called image domain-based methods whose common drawback is the requirement of great number of iterations for some acceptable solution.
Meanwhile, the sparsity of images in a certain transform domain has also been exploited in image denoising problems.
Sparsity transform learning algorithms can achieve extremely fast computations as well as desirable performance.
By taking both advantages of image domain and transform domain in a general framework, we propose a sparsifying transform learning and weighted singular values minimization method (STLWSM) for IDN problems.
The proposed method can make full use of the preponderance of both domains.
For solving the nonconvex cost function, we also present an efficient alternative solution for acceleration.
Experimental results show that the proposed STLWSM achieves improvement both visually and quantitatively with a large margin over state-of-the-art approaches based on an alternatively single domain.
It also needs much less iteration than all the image domain algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Yanwei& Yang, Ping& Guan, Qiu& Zheng, Jianwei& Wang, Wan Liang. 2020. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Yanwei…[et al.]. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Yanwei& Yang, Ping& Guan, Qiu& Zheng, Jianwei& Wang, Wan Liang. Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1138834
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138834
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