Optimization and Implementation of Image Compression Algorithm Based on Neural Network
Authors
Jing Hu, Xianbin Xu, Xuefeng Pan, Lingmin Liu
Corresponding Author
Jing Hu
Available Online May 2016.
- 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/).
Cite this article
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 -