American Psychological Association 6th edition

Jin, Z., Iqbal, M. Z., Zou, W., Li, X., & Steinbach, E. (2021). Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction. IEEE Transactions on Circuits & Systems for Video Technology, 31(2), 467-479. https://doi.org/10.1109/TCSVT.2020.2982174

ISO-690 (author-date, English)

JIN, Zhi, IQBAL, Muhammad Zafar, ZOU, Wenbin, LI, Xia und STEINBACH, Eckehard, 2021. Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction. IEEE Transactions on Circuits & Systems for Video Technology. 1 Februar 2021. Vol. 31, no. 2, p. 467-479. DOI 10.1109/TCSVT.2020.2982174.

Modern Language Association 9th edition

Jin, Z., M. Z. Iqbal, W. Zou, X. Li, und E. Steinbach. „Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction.“. IEEE Transactions on Circuits & Systems for Video Technology, Bd. 31, Nr. 2, Februar 2021, S. 467-79, https://doi.org/10.1109/TCSVT.2020.2982174.

Mohr Siebeck - Recht (Deutsch - Österreich)

Jin, Zhi/Iqbal, Muhammad Zafar/Zou, Wenbin/Li, Xia/Steinbach, Eckehard: Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction., IEEE Transactions on Circuits & Systems for Video Technology 2021, 467-479.

Emerald - Harvard

Jin, Z., Iqbal, M.Z., Zou, W., Li, X. und Steinbach, E. (2021), „Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction.“, IEEE Transactions on Circuits & Systems for Video Technology, Vol. 31 No. 2, S. 467-479.

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