Supervised dictionary learning for blind image quality assessment using quality-constraint sparse coding.

Qiuping Jiang,Feng Shao,Gangyi Jiang,Mei Yu,Zongju Peng

Journal of Visual Communication and Image Representation（2015）

引用 30|浏览73

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摘要

•We propose a new general purpose OF-BIQA model without training on the human subjective scores.•We propose a supervised dictionary learning framework by using quality-constraint sparse coding.•Besides Gabor features, we also incorporate HOG descriptor for local feature representation.

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关键词

Blind image quality assessment (BIQA),Supervised dictionary learning,Sparse coding,Sparse representation,Quality-constraint,Opinion free,Gabor,Histogram of Oriented Gradient (HOG)

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