A new image transmission compression approach based on Beidou navigation satellite system on the Open Sea

• Published in: Multimedia tools and applications Vol. 79; no. 21-22; pp. 14919 - 14931
• Main Authors: Guo, Zhipeng, Li, Juan, Wu, Ziku, Huang, Chao, Gao, Hongwei
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-06-2020; Springer Nature B.V
• Subjects: Algorithms; BeiDou Navigation Satellite System; Compression ratio; Computer Communication Networks; Computer Science; Computer simulation; Data compression; Data Structures and Information Theory; Data transmission; Discrete cosine transform; Efficiency; Image compression; Image quality; Image transmission; Microwave communications; Multimedia; Multimedia Information Systems; Navigation satellites; Satellite navigation systems; Satellites; Special Purpose and Application-Based Systems; Transmission efficiency; Data transmission; Mariculture; Image processing; Beidou navigation satellite system (BDS); Variable sequence progressive compression approach (VSPC); Open sea
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-019-08357-8

In order to solve the problem that a great amount of image information need to be transmitted on the mariculture of open sea and Beidou Navigation Satellite System (BDS) has the limited transmitting capability, this paper proposes a new compression approach to transmit image using BDS, i.e., the variable sequence progressive compression approach (VSPC). Firstly, by performing matrix operation and difference component extraction on the binary stream data, the data quantity is reduced. Then, the data quantity is further reduced by using the iterative compression approach. The simulation results show that the proposed approach can effectively reduce the amount of transmitted data, reduce the compression ratio and improve the data transmission efficiency under the premise of ensuring the same image quality by comparing with the traditional Huffman and DCT (Discrete Cosine Transform) algorithms.