research-article

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

Authors:

Hongwei GaoAuthors Info & Claims

Multimedia Tools and Applications, Volume 79, Issue 21-22

Pages 14919 - 14931

https://doi.org/10.1007/s11042-019-08357-8

Published: 01 June 2020 Publication History

Abstract

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.

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Cited By

Prema PRamalingam V(2023)OptiLCD: an optimal lossless compression and denoising technique for satellite images using hybrid optimization and deep learning techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09361-927:24(18605-18622)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s00500-023-09361-9
Wu DLiu SSun HZhang L(2022)Short-message communication Lossy data compression algorithm for BeiDou-3 satellite information transmissionMultimedia Tools and Applications10.1007/s11042-022-12467-181:9(12833-12855)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11042-022-12467-1

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

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Information

Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 79, Issue 21-22

Jun 2020

1437 pages

ISSN:1380-7501

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© Springer Science+Business Media, LLC, part of Springer Nature 2019.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2020

Accepted: 09 October 2019

Revision received: 14 August 2019

Received: 30 May 2019

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National Natural Science Foundation of China

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Cited By

Prema PRamalingam V(2023)OptiLCD: an optimal lossless compression and denoising technique for satellite images using hybrid optimization and deep learning techniquesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-09361-927:24(18605-18622)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s00500-023-09361-9
Wu DLiu SSun HZhang L(2022)Short-message communication Lossy data compression algorithm for BeiDou-3 satellite information transmissionMultimedia Tools and Applications10.1007/s11042-022-12467-181:9(12833-12855)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s11042-022-12467-1

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