Enhancement of Compressed Image Transmission in WMSNs Using Modified μ-Nonlinear Transformation

作     者：Bouchemel, Ammar Abed, Djamel Moussaoui, Abdelkrim 

作者机构：Univ 8 Mai 1945 Guelma Lab Control Avance Guelma 24000 Algeria Univ 8 Mai 1945 Guelma Dept Elect & Telecommun Guelma 24000 Algeria Univ 8 Mai 1945 Guelma Lab Genie Elect Guelma 24000 Algeria 

出 版 物：《IEEE COMMUNICATIONS LETTERS》 (IEEE Commun Lett)

年 卷 期：2018年第22卷第5期

页      面：934-937页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

主　　题：EZW/SPIHT image compression image transmission wireless multimedia sensors networks (WMSNs) 

摘      要：Multimedia content delivery applications over wireless sensor networks have been progressively popular. The crucial obstacle to communicating compressed images over wireless multimedia sensor networks (WMSNs) has been the lack of suitable energy efficient processing architectures and strategies. In this letter, we propose a low-complexity energy efficient scheme to improve the transmission quality of images compressed by the embedded zerotrees of wavelet transforms and set partitioning in hierarchical trees algorithms in the WMSNs based on an orthogonal frequency-division multiplexing technique. The proposed scheme use a simple post-inverse discrete Fourier transform modified mu nonlinear transformation, called mu-MNLT. Simulation results show the effectiveness of the proposed approach, which gives an improvement of peak signal-to-noise ratio (SNR) of about 30 dB (at SNR = 8 dB) without any bit-error-ratio degradation.