Histogram-Equalized Hypercube Adaptive Linear Regression for Image Quality Assessment
Author:
Funder
SONA COLLEGE OF TECHNOOGY
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s12046-019-1148-3.pdf
Reference25 articles.
1. Wu L, Cheng J Z, Li S, Lei B, Wang T and Ni D 2017 FUIQA: fetal ultrasound image quality assessment with deep convolutional networks. IEEE Trans. Cybern. 47(5): 1336–1349
2. Yang J, Lin Y, Ou B and Zhao X 2016 Image decomposition-based structural similarity index for image quality assessment. EURASIP J. Image Video Process. https://doi.org/10.1186/s13640-016-0134-5
3. Barcena-Gonzalez G, Guerrero-Lebrero M P, Guerrero E, Yanez A, Fernandez-Reyes D, Gonzalez D and Galindo P L 2017 Evaluation of high-quality image reconstruction techniques applied to high-resolution Z-contrast imaging. Ultramicroscopy 182: 283–291
4. Rahman S, Rahman M M, Abdullah-Al-Wadud M, Al-Quaderi G D and Shoyaib M 2016 An adaptive gamma correction for image enhancement. EURASIP J. Image Video Process. https://doi.org/10.1186/s13640-016-0138-1
5. Singh G and Singh K 2017 Improved JPEG anti-forensics with better image visual quality and forensic undetectability. Forensic Sci. Int. 277: 133–147
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