Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest

Yindong Chen; Chaofeng Li; Qingbing Sang

doi:10.3788/LOP56.111003

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 11 >Page 111003 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 11, 111003 (2019)

Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest

Yindong Chen¹, Chaofeng Li², and Qingbing Sang^1,*

Author Affiliations

¹ School of Internet of Things Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China

² Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai 200135, China;

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DOI: 10.3788/LOP56.111003 Cite this Article Set citation alerts

Yindong Chen, Chaofeng Li, Qingbing Sang. Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111003 Copy Citation Text

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Yindong Chen, Chaofeng Li, Qingbing Sang. Quality Assessment Without Reference Images Based on Convolution Neural Network and Deep Forest[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111003

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