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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(6): 512-515 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.371

A Low-Complexity UEP Image Transmission Scheme over Satellite

Tao Ma, Zhanqi Xu, Xiaoyong Wei, Fan Yang, and Ding Zhe
Abstract—Image transmission over satellite is an important application in our life. The unequal error protection (UEP) fountain coding is able to avoid the backchannel retransmission, and also provides UEP for the embedded compressed multimedia data. Thus it has become the ideal solution for image transmission scheme over satellite. However, the complexity of the existing UEP fountain coding hinders the applications on energy-constraint satellite. In this paper, a low-complexity UEP image transmission scheme is proposed. Two elements are designed to reduce the complexity of our transmission scheme. First, a very low-complexity image coding algorithm, the improved SPIHT (ISPIHT), is adopted as our compression codec, which provides almost same compression performance as JPEG2000 but much fast coding speed. Second, the descent method based optimization algorithm is proposed to further simplify the computational complexity. With these two elements, our proposed UEP Image transmission scheme is very applicable for satellite communication. Finally, our simulation results show our low-complexity UEP image transmission scheme outperforms the traditional EEP scheme.

Index Terms—UEP, low-complexity, image transmission, fountain code.

Tao Ma, Zhanqi Xu, Fan Yang and Zhe Ding are with the School of Telecommunications Engineering at Xidian University, Xian, China (tma@xidian.edu.cn, zqxu@xidian.edu.cn).
Yongwei Xiao is with the 54th institute of Electronic and Technology Group of China, Shi Jia Zhuang, China.

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Cite:Tao Ma, Zhanqi Xu, Xiaoyong Wei, Fan Yang, and Ding Zhe, "A Low-Complexity UEP Image Transmission Scheme over Satellite," International Journal of Machine Learning and Computing vol.3, no. 6, pp. 512-515, 2013.

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