Buradasınız

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

Journal Name:

Publication Year:

Abstract (2. Language): 
In order to improve unequal error protection and compression ratio of 2-D colored images over wireless environment, we propose two new schemes denoted as “Adaptive Wiener-Turbo System (AW-TS) and Adaptive Wiener-Turbo Systems with JPEG & Bit Plane Compressions (AW-TSwJBC)”. In AW-TS, there is a feedback link between Wiener filtering and Turbo decoder and process iteratively. The scheme employs a pixel-wise adaptive Wiener-based Turbo decoder and uses statistics (mean and standard deviation of local image) of estimated values of local neighborhood of each pixel. It has extra-ordinary satisfactory results of both bit error rate (BER) and image enhancement performance for less than 2 dB Signal-to-Noise Ratio (SNR) values, compared to separately application of traditional turbo coding scheme and 2-D filtering. In AW-TSwJBC scheme, 2-D colored image is passed through a color & bit planes’ slicer block. In this block, each pixel of the input image is partitioned up to three main color planes as R,G,B and each pixel of the color planes is sliced up to N binary bit planes, which corresponds to binary representation of pixels. Thus depending on importance of information knowledge of the input image, pixels of each color plane can be represented by fewer number of bit planes. Then they are compressed by JPEG prior to turbo encoder. Hence, two consecutive compressions are achieved regarding the input image. In 2-D images, information is mainly carried by neighbors of pixels. Here, we benefit of neighborhood relation of pixels for each color plane by using a new iterative block, named as “Adaptive Wiener–Turbo” scheme, which employs Turbo decoder, JPEG encoder/decoders and Adaptive Wiener Filtering.
257-276

REFERENCES

References: 

[1] R.C.Gonzales, R.E.Woods, ”Digital Image Processing”, ISBN 0-201-50803-6, 1992.
[2] A. D. Hillery and R. T. Chin, “Iterative Wiener filters for image restoration,” IEEE Trans. Signal Processing, Vol. 39, No. 8, 1892-1899, August, 1991.
[3] D. Divsalar and F. Pollara Communications Systems Research Section,” Turbo Codes for Deep-Space Communications” TDA Progress Report 42-120 February 15, 1995”.
[4] K.Buyukatak, E.Gose,O.N.Uçan, S.Kent, O. Osman, “Channel Equalizatin and Noise Reduction Based Turbo Codes“, Recent Advances on Space Technology, 2003.
[5] E.Gose, K.Buyukatak, Onur Osman, Osman N. Ucan, Halit Pastaci,” Performance Of Turbo Decoding For Time-Varying Multipath Channels” Recent Advances on Space Technology, 2003.
[6] Bernard Sklar, “A Primer on Turbo Concepts”, IEEE Communications Magazine, Dec.1997.
[7] Matthew C. Valenti, , “Iterative Detection and Decoding for Wireless Communications”, A
Proposal for Current and Future Work toward Doctor of Philosophy degree, September 1998.
[8] J. Hageneauer, "Iterative decoding of binary block and convolutional codes", IEEE
Trans. Inform. Theory, vol. 42, pp. 429-445, Mar. 1996.
[9] Matthew C. Valenti, “An Introduction to Turbo Codes”,Virginia Polytechnic Inst.& S.U.,Blacksburg, Virginia.
[10] W.J.Gross and P.G.Gulak,”Simplified MAP Algorithm suitable for implementation of Turbo Decoders”, Electronic Letters online no:19981126,3 June 1998.
[11] J.Hageneauer, "Iterative decoding of binary block and convolutional codes", IEEE
Trans. Inform. Theory, vol. 42, pp. 429-445, Mar.1996.
[12] Justin C-I Chuang. The effects of time delay spread on portable radio communication channels with digital modulation. IEEE Trans. SAC. 1987, SAC-5(5):879-889.
[13] Berrou C, Glavieux A. Near optimum error correcting coding and decoding: turbo codes. IEEE Trans. Commun. 1996; 44(10):1261–1271.
[14] Ucan ON, Buyukatak K, Gose E, Osman O, Odabasioglu N. Performance of multilevel-turbo codes with blind/non-blind equalization over WSSUS multipath channels. International Journal of Communication Systems 2005;19(3):281–297.
[15] Thomos N, Boulgouris NV, Strintzis MG. Wireless Image Transmission Using Turbo Codes and Optimal Unequal Error Protection. IEEE Transactions on Image Processing 2005; 14(11):1890-1901.
Kenan BUYUKATAK, Osman N. UCAN, Ersin GOSE, Onur Osman, Sedef KENT
Adaptive Wiener-Turbo System And Adaptive Wiener-Turbo Systems With JPEG & Bit Plane Compressions
263
[20] CCITT Recommendation T.81. Digital compression and coding of continuous-tone still images 1992.
[16] Yang J, Lee MH, Jiang M, Park JY. Robust wireless image transmission based on Turbo-coded OFDM. IEEE Transactions on Consumer Electronics 2002; 48(3):724-731.
[21] Hillery AD, Chin RT. Iterative Wiener filters for image restoration. IEEE Trans. Signal Processing 1991; 39(8):1892-1899.
[17] Han YH, Leou JJ. Detection and Correction of Transmission Errors in JPEG Images. IEEE Transactions on Circuits and Systems for Video Technology 1998; 8(2):221-231.
[23] Gross WJ, Gulak PG. Simplified MAP Algorithm suitable for implementation of Turbo Decoders. Electronic Letters 1998. 34(16):1577-8.
[18] Gonzales RC, Woods RE. Digital Image Processing. ISBN 0-201-50803-6, 1992.
[19] Pennebaker WB, Mitchell JL. JPEG: Still Image Data Compression Standard. New York: Van Nostrand Reinhold, 1993.

Thank you for copying data from http://www.arastirmax.com