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2019 | OriginalPaper | Buchkapitel

Image Fusion in WMSNs Based on Tetrolet Transform and Compressed Sensing

verfasst von : Zhou Xin

Erschienen in: Communications, Signal Processing, and Systems

Verlag: Springer Singapore

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Abstract

Wireless Multimedia Sensor Network is a new Sensor Network based on the traditional Wireless Sensor Network with the introduction of Multimedia information sensing function. The paper aims to solve the problems of the energy constraint in the Wireless Multimedia Sensor Network and the data of information encoded in the image has the characteristic of big size and high redundancy. The research can be conducted in the following two aspects. The first is to find a fast and accurate image registration algorithm which can be used to reduce the total amount of the extracted feature point and improve the matching precision. The second is to provide an image fusion approach which can be applied in the Wireless Multimedia Sensor Network. With this approach, the detailed features of the image can be highlighted, and the image clarity can be improved. The research in this paper can lay the theoretical foundation for research of image fusion in Wireless Multimedia Sensor Networks, and promote the development of wireless multimedia sensor network as an emerging cross-disciplinary science. The research are of important economic significance and social value in the informatization and networking of the fields of military, transportation, agriculture and etc.

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Metadaten
Titel
Image Fusion in WMSNs Based on Tetrolet Transform and Compressed Sensing
verfasst von
Zhou Xin
Copyright-Jahr
2019
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_187

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