A prediction backed model for quality assessment of screen content and 3-D synthesized images
In this paper, we address problems associated with free-energy-principle-based image quality assessment (IQA) algorithms for objectively assessing the quality of Screen Content (SC) and three-dimensional (3-D) synthesized images and also propose a very fast and efficient IQA algorithm to address the...
Saved in:
Main Authors: | Jakhetiya, Vinit, Gu, Ke, Lin, Weisi, Li, Qiaohong, Jaiswal, Sunil Prasad |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/140048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Model-based referenceless quality metric of 3D synthesized images using local image description
by: Gu, Ke, et al.
Published: (2020) -
Pre-attentive discrimination of interestingness in images
by: Katti, H., et al.
Published: (2013) -
Objective quality assessment and perceptual compression of screen content images
by: Wang, Shiqi, et al.
Published: (2020) -
The contribution of color information to rapid face categorization in natural scenes
by: Or, Charles C.-F., et al.
Published: (2019) -
Reduced-reference quality assessment of screen content images
by: Wang, Shiqi, et al.
Published: (2020)