کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6938364 | 1449926 | 2018 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Blind image sharpness assessment based on local contrast map statistics
ترجمه فارسی عنوان
ارزیابی وضوح تصویر بر اساس آمار نقشه کنتراست محلی
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کلمات کلیدی
بدون مرجع، ارزیابی کیفیت تصویر، تضاد، درصد آن، محدوده دینامیکی، موجک،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
This paper presents a fast blind image sharpness/blurriness assessment model (BISHARP) which operates in spatial and transform domain. The proposed model generates local contrast image maps by computing the root-mean-squared values for each image pixel within a defined size of local neighborhood. The resulting local contrast maps are then transformed into the wavelet domain where the reduction of high frequency content is evaluated in the presence of varying blur strengths. It was found that percentile values computed from sorted, level-shifted, high-frequency wavelet coefficients can serve as reliable image sharpness/blurriness estimators. Furthermore, it was found that higher dynamic range of contrast maps significantly improves model performance. The results of validation performed on seven image databases showed a very high correlation with perceptual scores. Due to low computational requirements the proposed model can be easily utilized in real-world image processing applications.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 50, January 2018, Pages 145-158
Journal: Journal of Visual Communication and Image Representation - Volume 50, January 2018, Pages 145-158
نویسندگان
Goran Gvozden, Sonja Grgic, Mislav Grgic,