کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6857330 662176 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Orientation selectivity based visual pattern for reduced-reference image quality assessment
ترجمه فارسی عنوان
جهت گیری بصری مبتنی بر انتخاب بصری برای ارزیابی کیفیت تصویر مرجع کاهش یافته است
کلمات کلیدی
مکانیزم انتخابی جهت، ارزیابی کیفیت تصویر، کاهش مرجع، تعاملات هیجان انگیز و مهار کننده، جهت گیری ترجیح داده شده. الگوی بصری،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Image quality assessment (IQA) is in great demand for high quality image selection in the big data era. The challenge of reduced-reference (RR) IQA is how to use limited data to effectively represent the visual content of an image in the context of IQA. Research on neuroscience indicates that the human visual system (HVS) exhibits obvious orientation selectivity (OS) mechanism for visual content extraction. Inspired by this, an OS based visual pattern (OSVP) is proposed to extract visual content for RR IQA in this paper. The OS arises from the arrangement of the excitatory and inhibitory interactions among connected cortical neurons in a local receptive field. According to the OS mechanism, the similarity of preferred orientations between two nearby pixels is first analyzed. Then, the orientation similarities of pixels in a local neighborhood are arranged, and the OSVP is built for visual information representation. With the help of OSVP, the visual content of an image is extracted and mapped into a histogram. By calculating the changes between the two histograms of reference and distorted images, a quality score is produced. Experimental results on five public databases demonstrate that the proposed RR IQA method has performance consistent with the human perception under a small amount of reference data (only 9 values).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 351, 10 July 2016, Pages 18-29
نویسندگان
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