کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6957811 | 1451922 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Full-reference image quality assessment based on image segmentation with edge feature
ترجمه فارسی عنوان
ارزیابی کیفیت تصویر کامل مرجع بر اساس تقسیم بندی تصویر با ویژگی لبه
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کلمات کلیدی
مرجع کامل، ارزیابی کیفی تصور تصویری، اثر ماسک تصویری، تقسیم بندی تصویر،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
Full-reference image quality assessment is widely used in many applications, such as image compression, image transmission and image mosaic. The visual masking effect has a significant impact on the perception of the human visual system, which is ignored in previous image quality assessments. Combined with the visual masking effect, a full-reference image quality assessment method by edge-feature-based image segmentation (EFS) was proposed. First, the image is segmented into three parts: contour regions, edge-extension regions and slowly-varying regions. The pixels in different regions are then described by different low-level features in the light of the visual masking effect. Finally, the low-level features in each part are pooled by two complementary aspects: visual saliency and visual masking effect. Experimental results on four large-scale benchmark databases show that the proposed method has a better prediction accuracy in all distortion types than other state-of-the-art image quality assessment indices.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 145, April 2018, Pages 99-105
Journal: Signal Processing - Volume 145, April 2018, Pages 99-105
نویسندگان
Shi Zaifeng, Zhang Jiaping, Cao Qingjie, Pang Ke, Luo Tao,