A gabor feature-based quality assessment model for the screen content images

• Main Authors: Ni, Zhangkai, Zeng, Huanqiang, Ma, Lin, Hou, Junhui, Chen, Jing, Ma, Kai-Kuang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Screen Content Images (SCIs); DRNTU::Engineering::Electrical and electronic engineering; Image Quality Assessment (IQA)
• Online Access: https://hdl.handle.net/10356/85921; http://hdl.handle.net/10220/48327
• Institution: Nanyang Technological University

In this paper, an accurate and efficient full-reference image quality assessment (IQA) model using the extracted Gabor features, called Gabor feature-based model (GFM), is proposed for conducting objective evaluation of screen content images (SCIs). It is well-known that the Gabor filters are highly...