An Efficient Image Compression Technique for Big Data Based on Deep Convolutional Autoencoders

Author:

Arora Shefali,Bhatia M. P. S.

Publisher

Springer Singapore

Reference18 articles.

1. Bonde, P., Barahate, S.: Data compression techniques for big data. Int. J. Emerg. Technol. Innov. Res. 4, 193–198 (2017)

2. Angelov, P., Manolopoulos, Y., Papadopoulos, A.: Special issue of Big Data Research Journal on “Big data and neural networks”. Big Data Res. 11, 3–4 (2018)

3. Oh, T., Besar, R.: Medical image compression using JPEG-2000 and JPEG: a comparison study. J. Mech. Med. Biol. 02, 313–328 (2002)

4. Bhatt, G., Jha, P., Raman, B.: Representation learning using step-based deep multi-modal autoencoders. Pattern Recogn. 95, 12–23 (2019)

5. Babu, T., Murty, M., Subrahmanya, S.: Compression Schemes for Mining Large Datasets, 1st edn, p. 197. Springer, London (2016)

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