Convolutional Neural Network-based deblocking filter for SHVC in H.265

Author:

Dhanalakshmi A.,Nagarajan G.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference45 articles.

1. Park, C.-S., Kim, B.-G.: Performance analysis of inter-layer prediction in scalable extension of HEVC (SHVC) for adaptive media service. Displays 44, 27–36 (2016)

2. Pourazad, M.T., Doutre, C., Azimi, M., Nasiopoulos, P.: HEVC: the new gold standard for video compression. IEEE Consum. Electron. Mag. 1(3), 36–46 (2012)

3. Test model for scalable extensions of high efficiency video coding (HEVC), ISO/IEC and JTC1/SC29/WG11 (2013)

4. Larochelle, H., Bengio, Y., Louradour, J., Lamblin, P.: Exploring strategies for training deep neural networks. J. Mach. Learn. Res. 10, 1–40 (2009)

5. Lee, H., Ekanadham, C., Ng, A.Y.: Sparse deep belief net model for visual area v2. In: Proceedings of the 20th International Conference on Neural Information Processing Systems, pp. 873–880 (2007)

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