Reduced-reference quality assessment of screen content images
The screen content images (SCIs) quality influences the user experience and the interactive performance of remote computing systems. With numerous approaches proposed to evaluate the quality of natural images, much less work has been dedicated to reduced-reference image quality assessment (RR-IQA) o...
Saved in:
Main Authors: | Wang, Shiqi, Gu, Ke, Zhang, Xinfeng, Lin, Weisi, Ma, Siwei, Gao, Wen |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/142238 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Full-reference image quality assessment by combining features in spatial and frequency domains
by: Tang, Zhisen, et al.
Published: (2021) -
A gabor feature-based quality assessment model for the screen content images
by: Ni, Zhangkai, et al.
Published: (2019) -
Screen content image quality assessment using multi-scale difference of Gaussian
by: Fu, Ying, et al.
Published: (2020) -
SGDNet : an end-to-end saliency-guided deep neural network for no-reference image quality assessment
by: Yang, Sheng, et al.
Published: (2020) -
No-reference image quality assessment using structural activity
by: Zhang, J., et al.
Published: (2014)