Blind Noisy Image Quality Assessment Using Spatial, Frequency and Wavelet Statistical Features
Author:
Affiliation:
1. Graduate School of Science and Engineering, Saitama University
Publisher
Research Institute of Signal Processing, Japan
Subject
General Energy
Link
https://www.jstage.jst.go.jp/article/jsp/28/1/28_19/_pdf
Reference38 articles.
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2. [2] C. Deng, S.Wang, A. C. Bovik, G. B. Huang and B. Zhao: Blind noisy image quality assessment using sub-band kurtosis, IEEE Trans. Cybern., Vol.50, No.3, pp.1146–1156, 2020.
3. [3] G. Yang, Y. Liao, Q. Zhang, D. Li and W. Yang: No-reference quality assessment of noise-distorted images based on frequency mapping, IEEE Access, Vol.5, pp.23146–23156, 2017.
4. [4] J. Wu and P. Jiang: A complete no-reference image quality assessment method based on local feature, Inter. J. Image. Data Fusion, Vol.10, No.3, pp.165-176, 2019.
5. [5] L. Liu, B. Liu, H. Huang and A. C. Bovik: No-reference image quality assessment based on spatial and spectral entropies, Signal Process. Image Commun., Vol.29, No.8, pp.856-863, 2014.
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