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A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications.

H. Chen, X. He, H. Yang, L. Qing, and Q. Teng. IEEE Trans. Neural Networks Learn. Syst., 33 (1): 430-444 (2022)

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Improved Low-Bitrate HEVC Video Coding Using Deep Learning Based Super-Resolution and Adaptive Block Patching.H. Lin, X. He, L. Qing, Q. Teng, and S. Yang. IEEE Trans. Multimedia, 21 (12): 3010-3023 (2019)Tree-structured Bayesian compressive sensing via generalised inverse Gaussian distribution.M. Wang, X. He, L. Qing, and S. Xiong. IET Signal Processing, 11 (3): 250-257 (2017)SGCRSR: Sequential gradient constrained regression for single image super-resolution.H. Chen, X. He, L. Qing, Q. Teng, and C. Ren. Sig. Proc.: Image Comm., (2018)High-Order Statistical Modeling Based on a Decision Tree for Distributed Video Coding.J. Yang, L. Qing, W. Zeng, and X. He. IEEE Trans. Circuits Syst. Video Techn., 29 (5): 1488-1502 (2019)CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks.H. Chen, X. He, C. Ren, L. Qing, and Q. Teng. CoRR, (2017)Improving distributed video coding by exploiting context-adaptive modeling.L. Qing, and W. Zeng. ICME, page 1-6. IEEE Computer Society, (2014)Low bit rates image compression via adaptive block downsampling and super resolution.H. Chen, X. He, M. Ma, L. Qing, and Q. Teng. J. Electronic Imaging, 25 (1): 013004 (2016)Fast Inter-Mode Decision Algorithm for High-Efficiency Video Coding Based on Textural Features.J. He, X. He, X. Li, and L. Qing. JCM, 9 (5): 441-447 (2014)Facial Expression Recognition Based on Group Domain Random Frame Extraction.W. Zhou, L. Wang, Y. Huang, L. Qing, X. Wu, and X. He. ICIG (1), volume 11901 of Lecture Notes in Computer Science, page 467-479. Springer, (2019)Large-Scale Street Space Quality Evaluation Based on Deep Learning Over Street View Image.M. Liu, L. Han, S. Xiong, L. Qing, H. Ji, and Y. Peng. ICIG (2), volume 11902 of Lecture Notes in Computer Science, page 690-701. Springer, (2019)

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A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications.

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A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications.