ABSTRACT

In this paper we present an energy saving approach to transmission of discrete wavelet transformation based compressed image frames over the OFDM channels. Based on one-bit channel state information at the transmitter, the descriptions in order of descending priority are assigned to the currently good channels used in Huffman and SPHIT Encoding. Analytical evaluation of the system in terms of probability of error is carried out in a diffused wireless channel. As a conclusion, the proposed system shows promising results for a high speed wireless channel and we demonstrate the usefulness of our proposed scheme in terms of system energy saving without compromising the received quality in terms of peak signal to noise ratio. Despite using more number of carriers  instead  subset of carriers is usable for successful data transmission and permitting the retransmission of lost packets. The improvements that can be realized in various performance parameters in a digital Communication system using wavelets. Parameters like Spectral efficiency, Mean square error, Peak signal to noise ratio (PSNR) and bit error rate are found to improve with the help of wavelets.
Keywords: DWT; IMAGE; HUFFMAN; SPIHT; OFDM.
REFERENCES
 [1]   Rafael C. GONZALEZ Richard E. WOODS. Digital image processing: second male erecticle dysfunction [M]. National capital business firm of industry 2002。
[2]   brandy ANTONINI Michel BARLAUD Pierre MATHIEU et al. Image committal to writing victimisation rippling remodel [J]. IEEE Trans. Image process 1992 1(2) 205-220。
[3]   Cheng Li-chi, Wang Hong-xia, Luo Yong. Rippling theory and applications. Beijing: Science Press, 2004(Chinese)
[4]   J. M. SHAPIRO. Embedded image committal to writing victimisation zero trees of wavelets coefficients [J]. IEEE Trans. Signal process 1993 41(12) 3445-346 a pair of.
[5]   Rafael C. GONZALEZ Richard E. WOODS. “Digital image processing”: second male erecticle dysfunction [M]. National capital business firm of industry 2002.
[7] Ameer aforesaid William A.PEARLMAN. “A new quick and economical image codec supported set partitioning in ranked trees [J]”. IEEE Transactions on Circuits and Systems for Video Technology 1996.
[6]   M. Banerjee and M. K. Kundu, “Edge primarily {based} options for content based image retrieval,” Pattern Recognition., vol. 36, no. 11, pp. 2649–2661, November 2003. [8] Y. S. Chan, P. C. Cosman, and L. B. Milstein, “A cross-layer diversity technique for multi-carrier OFDM multimedia system networks,” IEEE Trans. Image Proc., vol. 15, no. 4, pp. 833–847, Apr. 2006.
[7]   R. J. McEliece and W. E. Stark, “Channels with block interference,”IEEE Trans. info. Theory, vol. 30, no. 1, pp. 44–53, Jan. 1984.
[8] Richard Van inheritable and Ramjee Prasad, "OFDM for wireless multimedia system communications," Arech House Beantown, London, 2000.
[9]   J. M. Kahn, W. J. Krause, and J. B. Carruthers, "Experimental characterization of non directed indoor infrared channels," IEEE Trans. Commun., vol.43, pp.1613-1623, 1995.
[10]   Weinstein. S. B and Ebert P. M, "Data transmission by frequency division multiplexing victimisation the separate Fourier remodel," IEEE transactions on Communications, vol-com-19, pp. 628-634, 1971.

  [11]R. McEliece and W. E. Stark, “Channels with block interference,” IEEE Trans. Inform. Theory, vol. IT-30, pp. 44–53, Jan. 1984