No-reference Automatic Quality Assessment for Colorfulness-Adjusted, Contrast-Adjusted, and Sharpness-Adjusted Images Using High-Dynamic-Range-Derived Features
Image adjustment methods are one of the most widely used post-processing techniques for enhancing image quality and improving the visual preference of the human visual system (HVS). However, the assessment of the adjusted images has been mainly dependent on subjective evaluations. Also, most recentl...
Main Authors: | Jinseong Jang, Hanbyol Jang, Taejoon Eo, Kihun Bang, Dosik Hwang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/8/9/1688 |
Similar Items
-
Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation
by: Hanbyol Jang, et al.
Published: (2020-01-01) -
Inverse Tone Mapping Operator Using Sequential Deep Neural Networks Based on the Human Visual System
by: Hanbyol Jang, et al.
Published: (2018-01-01) -
Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio
by: Yuejiao Fu, et al.
Published: (2018-04-01) -
The assessment of color adjustment potentials for monoshade universal composites
by: Korkut Bora, et al.
Published: (2023-03-01) -
Adaptive color adjustment method based on HDR image
by: Chen Wenyi, et al.
Published: (2018-11-01)