Bit-Depth Enhancement via Convolutional Neural Network

Author:

Liu Jing,Sun Wanning,Liu Yutao

Publisher

Springer Singapore

Reference22 articles.

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4. Wan, J., Wang, D., Hoi, S.C.H., Wu, P., Zhu, J., Zhang, Y., Li, J.: Deep learning for content-based image retrieval: a comprehensive study. In: The ACM International Conference, pp. 157–166 (2014)

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1. MRFT: Multiscale Recurrent Fusion Transformer Based Prior Knowledge for Bit-Depth Enhancement;IEEE Transactions on Circuits and Systems for Video Technology;2023-10

2. Frequency domain-based bit-depth enhancement method and dealing with different bit-depth degradation;Nonlinear Theory and Its Applications, IEICE;2023

3. Bit-Depth Enhancement with Distortion Sensitivity;Communications in Computer and Information Science;2023

4. TANet: Target Attention Network for Video Bit-Depth Enhancement;IEEE Transactions on Multimedia;2022

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