Image Transmission

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 64518 Experts worldwide ranked by ideXlab platform

Xiao Lv - One of the best experts on this subject based on the ideXlab platform.

  • Research of Image Transmission System Based on ZigBee and GPRS Network
    International Journal of Machine Learning and Computing, 2013
    Co-Authors: Da Zhang, Xiao Lv
    Abstract:

    It is urgent to need the rich information of the Image etc. introduced into wireless sensor network based monitoring. This paper introduces an Image Transmission system based on wireless sensor networks using the ZigBee and GPRS network. The ZigBee network uses mesh network topology, which is simple and robust. To realize the remote Transmission, this paper uses GPRS network, and it can realize seamless connection of the ZigBee Coordinator node, GPRS and the internet. Through the Image Transmission system, it can quickly transmit the Image to the monitoring center, and the monitoring center can composite the Image by the transmitted Image data from ZigBee End-Device. Through the Image Transmission system, it can make up Transmission data single by WSNs. It will have a fine application prospects in the Image monitor system.

Da Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Research of Image Transmission System Based on ZigBee and GPRS Network
    International Journal of Machine Learning and Computing, 2013
    Co-Authors: Da Zhang, Xiao Lv
    Abstract:

    It is urgent to need the rich information of the Image etc. introduced into wireless sensor network based monitoring. This paper introduces an Image Transmission system based on wireless sensor networks using the ZigBee and GPRS network. The ZigBee network uses mesh network topology, which is simple and robust. To realize the remote Transmission, this paper uses GPRS network, and it can realize seamless connection of the ZigBee Coordinator node, GPRS and the internet. Through the Image Transmission system, it can quickly transmit the Image to the monitoring center, and the monitoring center can composite the Image by the transmitted Image data from ZigBee End-Device. Through the Image Transmission system, it can make up Transmission data single by WSNs. It will have a fine application prospects in the Image monitor system.

Liu Qingli - One of the best experts on this subject based on the ideXlab platform.

  • New scheme for Image Transmission based on SPIHT
    Journal of Computer Applications, 2013
    Co-Authors: Fu Yao, Liu Qingli
    Abstract:

    In this paper,a new real-time Image Transmission scheme based on Set Partitioning In Hierarchical Tree(SPIHT) was proposed.Firstly,the Image data needed to be transformed by wavelet.Secondly,in order to resist error pervasion when Image was transmitted,the wavelet coefficients were separated into small blocks and encoded by SPIHT.Finally,in order to improve the quality of the restructured Image,the wavelet coefficients of the highest level in every block were transmitted repeatedly.In order to improve the throughput of the Image Transmission system,the optimum frame length was proposed.Both theoretical demonstration and simulation results here have validated that the proposed scheme provides stronger error resilience than traditional scheme based on SPIHT,and can improve the peak signal to noise ratio of the restructured Image about 10 dB.

Ding Zhe - One of the best experts on this subject based on the ideXlab platform.

  • A Low-Complexity UEP Image Transmission Scheme over Satellite
    International Journal of Machine Learning and Computing, 2013
    Co-Authors: Xiaoyong Wei, Fan Yang, 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.

Fu Yao - One of the best experts on this subject based on the ideXlab platform.

  • New scheme for Image Transmission based on SPIHT
    Journal of Computer Applications, 2013
    Co-Authors: Fu Yao, Liu Qingli
    Abstract:

    In this paper,a new real-time Image Transmission scheme based on Set Partitioning In Hierarchical Tree(SPIHT) was proposed.Firstly,the Image data needed to be transformed by wavelet.Secondly,in order to resist error pervasion when Image was transmitted,the wavelet coefficients were separated into small blocks and encoded by SPIHT.Finally,in order to improve the quality of the restructured Image,the wavelet coefficients of the highest level in every block were transmitted repeatedly.In order to improve the throughput of the Image Transmission system,the optimum frame length was proposed.Both theoretical demonstration and simulation results here have validated that the proposed scheme provides stronger error resilience than traditional scheme based on SPIHT,and can improve the peak signal to noise ratio of the restructured Image about 10 dB.