دورية أكاديمية
Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure
| العنوان: | Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure |
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| المؤلفون: | Gu, Ke, Wang, Shiqi, Zhai, Guangtao, Ma, Siwei, Yang, Xiaokang, Lin, Weisi, Zhang, Wenjun, Gao, Wen |
| المساهمون: | Gu, K, Lin, WS (reprint author), Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore., Zhai, GT, Yang, XK, Zhang, WJ (reprint author), Shanghai Jiao Tong Univ, Inst Image Commun & Informat Proc, Shanghai 200240, Peoples R China., Wang, SQ, Ma, SW, Gao, W (reprint author), Peking Univ, Sch Elect Engn & Comp Sci, Inst Digital Media, Beijing 100871, Peoples R China., Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore., Shanghai Jiao Tong Univ, Shanghai 200240, Peoples R China., Shanghai Jiao Tong Univ, Inst Image Commun & Informat Proc, Shanghai 200240, Peoples R China., Peking Univ, Sch Elect Engn & Comp Sci, Inst Digital Media, Beijing 100871, Peoples R China. |
| المصدر: | EI ; SCI |
| بيانات النشر: | IEEE TRANSACTIONS ON MULTIMEDIA |
| سنة النشر: | 2016 |
| المجموعة: | Peking University Institutional Repository (PKU IR) / 北京大学机构知识库 |
| مصطلحات موضوعية: | High dynamic range, image quality assessment (IQA), information entropy, no-reference (NR), statistical naturalness, structural preservation, tone mapping, DYNAMIC-RANGE IMAGES, CONTRAST, SCENES, PRESERVATION, SIMILARITY, STATISTICS, VISIBILITY, DOMAIN, MODEL |
| الوصف: | High dynamic range (HDR) imaging techniques have been working constantly, actively, and validly in the fault detection and disease diagnosis in the astronomical and medical fields, and currently they have also gained much more attention from digital image processing and computer vision communities. While HDR imaging devices are starting to have friendly prices, HDR display devices are still out of reach of typical consumers. Due to the limited availability of HDR display devices, in most cases tone mapping operators (TMOs) are used to convert HDR images to standard low dynamic range (LDR) images for visualization. But existing TMOs cannot work effectively for all kinds of HDR images, with their performance largely depending on brightness, contrast, and structure properties of a scene. To accurately measure and compare the performance of distinct TMOs, in this paper develop an effective and efficient no-reference objective quality metric which can automatically assess LDR images created by different TMOs without access to the original HDR images. Our model is shown to be statistically superior to recent full-and no-reference quality measures on the existing tone-mapped image database and a new relevant database built in this work. ; Singapore MoE Tier 1 Project [M4011379, RG141/14]; National Science Foundation of China [61025005, 61371146, 61221001, 61390514] ; SCI(E) ; EI ; ARTICLE ; guke.doctor@gmail.com; sqwang1986@pku.edu.cn; zhaiguangtao@sjtu.edu.cn; swma@pku.edu.cn; xkyang@sjtu.edu.cn; wslin@ntu.edu.sg; zhangwenjun@sjtu.edu.cn; wgao@pku.edu.cn ; 3 ; 432-443 ; 18 |
| نوع الوثيقة: | journal/newspaper |
| اللغة: | English |
| ردمك: | 978-0-00-371931-4 0-00-371931-6 |
| تدمد: | 1520-9210 1941-0077 |
| العلاقة: | IEEE TRANSACTIONS ON MULTIMEDIA.2016,18,(3),432-443.; 1395026; http://hdl.handle.net/20.500.11897/437573Test; WOS:000371931600010 |
| DOI: | 10.1109/TMM.2016.2518868 |
| الإتاحة: | https://doi.org/20.500.11897/437573Test https://doi.org/10.1109/TMM.2016.2518868Test https://hdl.handle.net/20.500.11897/437573Test |
| رقم الانضمام: | edsbas.E6850714 |
| قاعدة البيانات: | BASE |
| ردمك: | 9780003719314 0003719316 |
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| تدمد: | 15209210 19410077 |
| DOI: | 10.1109/TMM.2016.2518868 |