No-Reference Quality Assessment for Contrast-Distorted Images
Contrast distortion is a common distortion type in the image applications. However, there are still very limited approaches proposed for quantifying the quality of the contrast-distorted images reliably. In this paper, we devise a novel no-reference/blind quality assessment method for those contrast...
Main Authors: | Yutao Liu, Xiu Li |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9084139/ |
Similar Items
-
IMPROVING THE PERFORMANCE OF NO-REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHM FOR CONTRAST-DISTORTED IMAGES USING NATURAL SCENE STATISTICS
by: Yusra Al-Najjar, et al.
Published: (2017-12-01) -
Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT Domain
by: Xiaohan Yang, et al.
Published: (2018-11-01) -
Blind Image Quality Assessment of Natural Distorted Image Based on Generative Adversarial Networks
by: Hongtao Yang, et al.
Published: (2019-01-01) -
Utilizing natural scene statistics and blind image quality analysis of infrared imagery
by: Kaser, Jennifer Yvonne
Published: (2013) -
Quality Assessment on Authentically Distorted Images by Expanding Proxy Labels
by: Xiaodi Guan, et al.
Published: (2020-02-01)