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Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently
المؤلفون المشاركون
Jiao, Shuhong
Abdalmajeed, Saifeldeen
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-18
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Two real blind/no-reference (NR) image quality assessment (IQA) algorithms in the spatial domain are developed.
To measure image quality, the introduced approach uses an unprecedented concept for gathering a set of novel features based on edges of natural scenes.
The enhanced sensitivity of the human eye to the information carried by edge and contour of an image supports this claim.
The effectiveness of the proposed technique in quantifying image quality has been studied.
The gathered features are formed using both Weibull distribution statistics and two sharpness functions to devise two separate NR IQA algorithms.
The presented algorithms do not need training on databases of human judgments or even prior knowledge about expected distortions, so they are real NR IQA algorithms.
In contrast to the most general no-reference IQA, the model used for this study is generic and has been created in such a way that it is not specified to any particular distortion type.
When testing the proposed algorithms on LIVE database, experiments show that they correlate well with subjective opinion scores.
They also show that the introduced methods significantly outperform the popular full-reference peak signal-to-noise ratio (PSNR) and the structural similarity (SSIM) methods.
Besides they outperform the recently developed NR natural image quality evaluator (NIQE) model.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. 2015. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abdalmajeed, Saifeldeen& Jiao, Shuhong. Using the Natural Scenes’ Edges for Assessing Image Quality Blindly and Efficiently. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073716
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1073716
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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