Screen content image quality assessment using multi-scale difference of Gaussian
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...
Saved in:
Main Authors: | Fu, Ying, Zeng, Huanqiang, Ma, Lin, Ni, Zhangkai, Zhu, Jianqing, Ma, Kai-Kuang |
---|---|
其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/142205 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
A gabor feature-based quality assessment model for the screen content images
由: Ni, Zhangkai, et al.
出版: (2019) -
Reduced-reference quality assessment of screen content images
由: Wang, Shiqi, et al.
出版: (2020) -
Quality assessment for microscopic images of manufactured IC
由: Huang, Zehao
出版: (2025) -
Full-reference image quality assessment by combining features in spatial and frequency domains
由: Tang, Zhisen, et al.
出版: (2021) -
A multi-order derivative feature-based quality assessment model for light field image
由: Tian, Yu, et al.
出版: (2020)