Screen content image quality assessment using multi-scale difference of Gaussian

• Main Authors: Fu, Ying, Zeng, Huanqiang, Ma, Lin, Ni, Zhangkai, Zhu, Jianqing, Ma, Kai-Kuang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Human Visual System (HVS); Image Quality Assessment (IQA)
• Online Access: https://hdl.handle.net/10356/142205
• Institution: Nanyang Technological University

In this paper, a novel image quality assessment (IQA) model for the screen content images (SCIs) is proposed by using multi-scale difference of Gaussian (MDOG). Motivated by the observation that the human visual system (HVS) is sensitive to the edges while the image details can be better explored in...