To compress, improve bit error performance and also enhance 2D images, a new scheme, called Iterative Cellular-Turbo System (IC-TS) is introduced. In IC-TS, the original image is partitioned into 2N quantization levels, where N is denoted as bit planes. Then each of the N-bit-plane is coded by Turbo encoder and transmitted over Additive White Gaussian Noise (AWGN) channel. At the receiver side, bit-planes are re-assembled taking into consideration of neighborhood relationship of pixels in 2-D images. Each of the noisy bit-plane values of the image is evaluated iteratively using IC-TS structure, which is composed of equalization block; Iterative Cellular Image Processing Algorithm (ICIPA) and Turbo decoder. In IC-TS, there is an iterative feedback link between ICIPA and Turbo decoder. ICIPA uses mean and standard deviation of estimated values of each pixel neighborhood. It has extra-ordinary satisfactory results of both Bit Error Rate (BER) and image enhancement performance for less than -1 dB Signal-to-Noise Ratio (SNR) values, compared to traditional turbo coding scheme and 2-D filtering, applied separately. Also, compression can be achieved by using IC-TS systems. In compression, less memory storage is used and data rate is increased up to N-1 times by simply choosing any number of bit slices, sacrificing resolution. Hence, it is concluded that IC-TS system will be a compromising approach in 2-D image transmission, recovery of noisy signals and image compression.<\/p>\r\n","references":"[1] C. Berrou, A. Glavieux, and P. Thitimajshima, \"Near Shannon limit\r\nerror-correcting coding: Turbo codes,\" IEEE International Conference\r\non Communications, Geneva, Switzerland, May 1993, pp. 1064-1070.\r\n[2] L. Hanzo, J. P. Woodard, and P. Robertson, \"Turbo Decoding and\r\nDetection for Wireless Applications,\" Proceedings of IEEE, vol. 95, no.\r\n6, pp. 1178-1200, 2007.\r\n[3] T. P. O'Rourke, \"Robust image communication: an improved design\",\r\nPh.D. Dissertation, Dept. Of Electrical Engineering, University of Notre\r\nDame, April 1996.\r\n[4] O. Osman, O. N. U\u251c\u00baan, and M. Albora, \"Iterative Cellular Image\r\nProcessing Algorithm (ICIPA)\", Istanbul University -Journal of\r\nElectrical and Electronics Engineering (IU-JEE), vol. 3, no. 1, pp. 775-\r\n782, 2003.\r\n[5] D. Divsalar, and F. Pollara, \"Turbo Codes for Deep-Space\r\nCommunications\" Communications Systems Research Section, TDA\r\nProgress Report 42-120, February 15, 1995.\r\n[6] K. Buyukatak, E. Gose, O. N. U\u251c\u00baan, S. Kent, and O. Osman, \"Channel\r\nEqualizatin and Noise Reduction Based Turbo Codes,\" Recent Advances\r\non Space Technology, Istanbul, Turkey, November 20-22, 2003, pp.\r\n644-648.\r\n[7] H. Dogan, H. A. Cirpan, and E. Panayirci, \"Iterative Channel Estimation\r\nand Decoding of Turbo Coded SFBC-OFDM Systems,\" Wireless\r\nCommunications, IEEE Transactions on, vol.6, no. 8, pp. 3090-3101,\r\n2007.\r\n[8] R. C. Gonzales, and R. E. Woods, Digital Image Processing, ISBN 0-\r\n201-50803-6, 1992.\r\n[9] B. Sklar, \"A Primer on Turbo Concepts\", IEEE Communications\r\nMagazine, pp. 94-101, December 1997.\r\n[10] M. C. Valenti, \"Iterative Detection and Decoding for Wireless\r\nCommunications\", A Proposal for Current and Future Work toward\r\nDoctor of Philosophy degree, September 1998.\r\n[11] J. Hageneauer, \"Iterative decoding of binary block and convolutional\r\ncodes,\" IEEE Trans. Inform. Theory, vol. 42, pp. 429-445, Mar. 1996.\r\n[12] W. J. Gross, and P. G. Gulak, \"Simplified MAP Algorithm suitable for\r\nimplementation of Turbo Decoders,\" Electronic Letters, vol. 34, no. 16,\r\npp. 1577-1578, 1998.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 44, 2010"}