Özet
This paper introduces a new analysis-based regularizer, which incorporates the neighborhood-awareness of the structure tensor total variation (STV) and the tunability of the directional total variation (DTV), in favor of a pre-selected direction with a pre-selected dose of penalization. In order to show the utility of the proposed regularizer, we consider the problem of denoising uni-directional images. Since the regularizer is convex, we develop a simple optimization algorithm by realizing its proximal map. The quantitative and the visual experiments demonstrate the superiority of our regularizer over DTV (only for scalar-valued images) and STV.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Proceedings |
Editörler | Aythami Morales, Julian Fierrez, José Salvador Sánchez, Bernardete Ribeiro |
Yayınlayan | Springer |
Sayfalar | 89-100 |
Sayfa sayısı | 12 |
ISBN (Basılı) | 9783030313319 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2019 |
Etkinlik | 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019 - Madrid, Spain Süre: 1 Tem 2019 → 4 Tem 2019 |
Yayın serisi
Adı | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Hacim | 11867 LNCS |
ISSN (Basılı) | 0302-9743 |
ISSN (Elektronik) | 1611-3349 |
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???event.eventtypes.event.conference??? | 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019 |
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Ülke/Bölge | Spain |
Şehir | Madrid |
Periyot | 1/07/19 → 4/07/19 |
Bibliyografik not
Publisher Copyright:© 2019, Springer Nature Switzerland AG.
Finansman
This work is supported by Istanbul Kultur University under ULEP-2018-2019/49.
Finansörler | Finansör numarası |
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Istanbul Kultur University | ULEP-2018-2019/49 |