American Psychological Association 6th edition

Yang, J., Zhang, Y., Zhu, G., & Kwong, S. (2021). A Clustering-Based Framework for Improving the Performance of JPEG Quantization Step Estimation. IEEE Transactions on Circuits & Systems for Video Technology, 31(4), 1661-1672. https://doi.org/10.1109/TCSVT.2020.3003653

ISO-690 (author-date, English)

YANG, Jianquan, ZHANG, Yulan, ZHU, Guopu und KWONG, Sam, 2021. A Clustering-Based Framework for Improving the Performance of JPEG Quantization Step Estimation. IEEE Transactions on Circuits & Systems for Video Technology. 1 April 2021. Vol. 31, no. 4, p. 1661-1672. DOI 10.1109/TCSVT.2020.3003653.

Modern Language Association 9th edition

Yang, J., Y. Zhang, G. Zhu, und S. Kwong. „A Clustering-Based Framework for Improving the Performance of JPEG Quantization Step Estimation.“. IEEE Transactions on Circuits & Systems for Video Technology, Bd. 31, Nr. 4, April 2021, S. 1661-72, https://doi.org/10.1109/TCSVT.2020.3003653.

Mohr Siebeck - Recht (Deutsch - Österreich)

Yang, Jianquan/Zhang, Yulan/Zhu, Guopu/Kwong, Sam: A Clustering-Based Framework for Improving the Performance of JPEG Quantization Step Estimation., IEEE Transactions on Circuits & Systems for Video Technology 2021, 1661-1672.

Emerald - Harvard

Yang, J., Zhang, Y., Zhu, G. und Kwong, S. (2021), „A Clustering-Based Framework for Improving the Performance of JPEG Quantization Step Estimation.“, IEEE Transactions on Circuits & Systems for Video Technology, Vol. 31 No. 4, S. 1661-1672.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.