Content-insensitive blind image blurriness assessment using Weibull statistics and sparse extreme learning machine

• Main Authors: Deng, Chenwei, Wang, Shuigen, Li, Zhen, Huang, Guang-Bin, Lin, Weisi
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; Content-insensitivity; Image Blurriness Assessment
• Online Access: https://hdl.handle.net/10356/151361
• Institution: Nanyang Technological University

Most of the existing image blurriness assessment algorithms are proposed based on measuring image edge width, gradient, high-frequency energy, or pixel intensity variation. However, these methods are content sensitive with little consideration of image content variations, which causes variant estima...