Abstract
The advancement in the development of sensor nodes interms of acquiring multimedia data has fostered the applicability of Wireless Multimedia Sensor Network (WMSN) into various domains like surveillance and area monitoring. The energy consumption of such network is much higher than the conventional WSN due to the introduction of multimedia data to the network. Thus image compression, as energy optimized multimedia data processing and transmission technique, is critical required to prolong the life time of the network. In this paper, we evaluated the performance of three image compression algorithms (SPIHT, EZW, and WDR) with wavelet transforms (Haar, Daubechies, and biorthogonal) using three standard images. The compression techniques performance is measured by CR, PSNR, and MSE. The experiment is carried out in MATLAB. The experimental results i.e., visual and quantitative, show the supremacy of SPIHT algorithm over the rest of compression techniques explained.
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Genta, A., Lobiyal, D.K. (2018). Performance Evaluation of Wavelet Based Image Compression for Wireless Multimedia Sensor Network. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_40
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DOI: https://doi.org/10.1007/978-981-13-1813-9_40
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