Screen content image quality measurement based on multiple features
Author:
Funder
the Natural Science Foundation of China
the Natural Science Foundation of the Anhui Higher Education Institutions of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18366-x.pdf
Reference43 articles.
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2. Wan W, Wang J (2020) Li J Hybrid jnd model-guided watermarking method for screen content images. Multimed Tools Appl 79:4907–4930
3. Zeng K, Chen K, Zhang W, Wang Y, Yu N (2022) Improving robust adaptive steganography via minimizing channel errors. Signal Process 195:108498
4. Gu K, Wang S, Yang H, Lin W, Zhai G, Yang X (2016) Zhang W Saliency-guided quality assessment of screen content images. IEEE Trans Multimed 18(6):1098–1110
5. Wang Z, Bovik AC, Sheikh HR (2004) Simoncelli EP Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612
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