دورية أكاديمية

Image Restoration by Variable Splitting based on Total Variant Regularizer

التفاصيل البيبلوغرافية
العنوان: Image Restoration by Variable Splitting based on Total Variant Regularizer
المؤلفون: E. Sahragard, H. Farsi, S. Mohammadzadeh
المصدر: Journal of Artificial Intelligence and Data Mining, Vol 6, Iss 1, Pp 13-33 (2018)
بيانات النشر: Shahrood University of Technology, 2018.
سنة النشر: 2018
المجموعة: LCC:Information technology
LCC:Computer software
مصطلحات موضوعية: Image restoration, Image inpainting, Deblurring, Total variation regularizer, Lagrangian augmented, Information technology, T58.5-58.64, Computer software, QA76.75-76.765
الوصف: The aim of image restoration is to obtain a higher quality desired image from a degraded image. In this strategy, an image inpainting method fills the degraded or lost area of the image by appropriate information. This is performed in such a way so that the obtained image is undistinguishable for a casual person who is unfamiliar with the original image. In this paper, different images are degraded by two procedures; one is to blur and to add noise to the original image, and the other one is to lose a percentage of the pixels belonging to the original image. Then, the degraded image is restored by the proposed method and also two state-of-art methods. For image restoration, it is required to use optimization methods. In this paper, we use a linear restoration method based on the total variation regularizer. The variable of optimization problem is split, and the new optimization problem is solved by using Lagrangian augmented method. The experimental results show that the proposed method is faster, and the restored images have higher quality compared to the other methods.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2322-5211
2322-4444
العلاقة: http://jad.shahroodut.ac.ir/article_963_30a83be96bc0b8d987a9e2c3110ea4b8.pdfTest; https://doaj.org/toc/2322-5211Test; https://doaj.org/toc/2322-4444Test
DOI: 10.22044/jadm.2017.963
الوصول الحر: https://doaj.org/article/5ca383b6ca4c45e08516d927252cf266Test
رقم الانضمام: edsdoj.5ca383b6ca4c45e08516d927252cf266
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23225211
23224444
DOI:10.22044/jadm.2017.963