Optimization and Implementation of Image Compression Algorithm Based on Neural Network

DOI

10.2991/icaset-16.2016.26How to use a DOI?

Keywords

Video compression, Neural networks, Linear approximation

Abstract

This paper presents an image compression algorithm based on neural network with almost real-time response, to address the difficulty of real-time video transmission and compression. After giving the structure of the neural network based video compression system, the self-learning algorithm of neural network is presented. Then, the neuron activation function is optimised using a linear approximation and the designs of the typical modules based on FPGA are proposed. Finally, the overall performance of the image compression algorithm was verified on DSPbuilder and Matlab.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing Hu
AU  - Xianbin Xu
AU  - Xuefeng Pan
AU  - Lingmin Liu
PY  - 2016/05
DA  - 2016/05
TI  - Optimization and Implementation of Image Compression Algorithm Based on Neural Network
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 130
EP  - 136
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.26
DO  - 10.2991/icaset-16.2016.26
ID  - Hu2016/05
ER  -