No-Reference Quality Assessment of Deblurred Images Based on Natural Scene Statistics

• Main Authors: Li, Leida, Yan, Ya, Lu, Zhaolin, Wu, Jinjian, Gu, Ke, Wang, Shiqi
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Image Quality Assessment; Defocus Deblurring
• Online Access: https://hdl.handle.net/10356/87058; http://hdl.handle.net/10220/44298
• Institution: Nanyang Technological University

Blurring is one of the most common distortions in digital images. In the past decade, extensive image deblurring algorithms have been proposed to restore a latent clean image from its blurred version. However, very little work has been dedicated to the quality assessment of deblurred images, which m...