Non-Reference Blur Image Quality Evaluation Based on Saliency Object Classification

Feipeng Shen; Tong Zhu; Henan Zhang; Zhenghao Chen

doi:10.3788/LOP202158.2210015

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 22 >Page 2210015 > Article

Laser & Optoelectronics Progress
Vol. 58, Issue 22, 2210015 (2021)

Non-Reference Blur Image Quality Evaluation Based on Saliency Object Classification

Feipeng Shen^1、*, Tong Zhu¹, Henan Zhang^1、2, and Zhenghao Chen¹

Author Affiliations

¹School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

²Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, China University of Mining and Technology, Xuzhou, Jiangsu 221116

show less

DOI: 10.3788/LOP202158.2210015 Cite this Article Set citation alerts

Feipeng Shen, Tong Zhu, Henan Zhang, Zhenghao Chen. Non-Reference Blur Image Quality Evaluation Based on Saliency Object Classification[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210015 Copy Citation Text

show less

Cited By

Article index updated: May. 18, 2024

Citation counts are provided from Researching.

The article is cited by 2 article(s) from Researching.

Feipeng Shen, Tong Zhu, Henan Zhang, Zhenghao Chen. Non-Reference Blur Image Quality Evaluation Based on Saliency Object Classification[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210015

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information