کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4969233 | 1449927 | 2017 | 37 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A critical survey of state-of-the-art image inpainting quality assessment metrics
ترجمه فارسی عنوان
یک نظرسنجی بسیار مهم در مورد نقاط قوت و ضعف سنجش کیفیت
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کلمات کلیدی
تصویر در رنگ آمیزی، ارزیابی کیفیت تصویر، کیفیت تزئینات، وارد کردن پایگاه داده ها، ارزیابی کیفیت تصویر در رنگ آمیزی، نظر سنجی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Image inpainting is the process of restoring missing pixels in digital images in a plausible way. Research in image inpainting has received considerable attention in different areas, including restoration of old and damaged documents, removal of undesirable objects, computational photography, retouching applications, etc. The challenge is that the recovery processes themselves introduce noticeable artifacts within and around the restored image regions. As an alternative to subjective evaluation by humans, a number of approaches have been introduced to quantify inpainting processes objectively. Unfortunately, existing objective metrics have their own strengths and weaknesses as they use different criteria. This paper provides a thorough insight into existing metrics related to image inpainting quality assessment, developed during the last few years. The paper provides, under a new framework, a comprehensive description of existing metrics, their strengths, their weaknesses, and a detailed performance analysis on real images from public image inpainting database. The paper also outlines future research directions and applications of inpainting and inpainting-related quality assessment measures.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 49, November 2017, Pages 177-191
Journal: Journal of Visual Communication and Image Representation - Volume 49, November 2017, Pages 177-191
نویسندگان
Muhammad Ali Qureshi, Mohamed Deriche, Azeddine Beghdadi, Asjad Amin,