Improving Image Quality in Remote Sensing Satellites using Channel Coding
Among other factors that characterize satellite communication
channels is their high bit error rate. We present a system for
still image transmission over noisy satellite channels. The system
couples image compression together with error control codes to
improve the received image quality while maintaining its bandwidth
requirements. The proposed system is tested using a high resolution
satellite imagery simulated over the Rician fading channel. Evaluation
results show improvement in overall system including image quality
and bandwidth requirements compared to similar systems with different
coding schemes.
[1] A. Perkis and D. Cardelo, "Coding of still pictures," in 16th meeting of
ISO/IEC JTC 1/SC 29/WG 1, (Trondheim, Norway), p. N 1148, 1999.
[2] M. Sabir, H. Sheikh, R. Heath, and A. Bovik, "A joint source-channel
distortion model for jpeg compressed images," in Proceedings IEEE
Int. Conference on Image Processing, ICIP-04, (Singapore), pp. 3249 -
3252, 2004.
[3] I. Moccagatta, S. Soudagar, J. Liang, and H. Chen, "Error-resilient
coding in jpeg-2000 and mpeg-4," IEEE Journal Selected Areas in
Communications, vol. 18, no. 6, pp. 1-11, 2000.
[4] P. Sweeney, Error Control Coding from Theory to Practice. Wiley, 2002.
[5] C. Taylor, S. Dey, and D. Panigrahi, "Energy/latency/image quality tradeoffs
in enabling mobile multimedia communication," in Proceedings
12th Tyrrhenian Workshop on Digital Communications: Software Radio
Technologies and Services, (Portoferraio - Island of Elba, Italy), pp. 44-
56, 2000.
[6] J. Proakis and M. Salehi, Communication Systems Engineering. Prentice
Hall, 1994.
[7] S. Wicker, Error Control Systems for Digital Communication and
Storage. Prentice Hall, 1995.
[8] H. Behairy and S. Chang, "Parallel concatenated gallager codes," IEE
Electronics Letters, vol. 36, no. 24, pp. 2025-2026, 2000.
[9] D. MacKay, "Good error-correcting codes based on very sparse matrices,"
IEEE Trans. Information Theory, vol. 45, pp. 399-431, 1999.
[10] H. Behairy and S. Chang, "Parallel concatenated gallager codes," in
Proceedings CDMA Int. Conference-CIC2000, (Seoul-Korea), pp. 123-
127, 2000.
[1] A. Perkis and D. Cardelo, "Coding of still pictures," in 16th meeting of
ISO/IEC JTC 1/SC 29/WG 1, (Trondheim, Norway), p. N 1148, 1999.
[2] M. Sabir, H. Sheikh, R. Heath, and A. Bovik, "A joint source-channel
distortion model for jpeg compressed images," in Proceedings IEEE
Int. Conference on Image Processing, ICIP-04, (Singapore), pp. 3249 -
3252, 2004.
[3] I. Moccagatta, S. Soudagar, J. Liang, and H. Chen, "Error-resilient
coding in jpeg-2000 and mpeg-4," IEEE Journal Selected Areas in
Communications, vol. 18, no. 6, pp. 1-11, 2000.
[4] P. Sweeney, Error Control Coding from Theory to Practice. Wiley, 2002.
[5] C. Taylor, S. Dey, and D. Panigrahi, "Energy/latency/image quality tradeoffs
in enabling mobile multimedia communication," in Proceedings
12th Tyrrhenian Workshop on Digital Communications: Software Radio
Technologies and Services, (Portoferraio - Island of Elba, Italy), pp. 44-
56, 2000.
[6] J. Proakis and M. Salehi, Communication Systems Engineering. Prentice
Hall, 1994.
[7] S. Wicker, Error Control Systems for Digital Communication and
Storage. Prentice Hall, 1995.
[8] H. Behairy and S. Chang, "Parallel concatenated gallager codes," IEE
Electronics Letters, vol. 36, no. 24, pp. 2025-2026, 2000.
[9] D. MacKay, "Good error-correcting codes based on very sparse matrices,"
IEEE Trans. Information Theory, vol. 45, pp. 399-431, 1999.
[10] H. Behairy and S. Chang, "Parallel concatenated gallager codes," in
Proceedings CDMA Int. Conference-CIC2000, (Seoul-Korea), pp. 123-
127, 2000.
@article{"International Journal of Information, Control and Computer Sciences:52564", author = "H. M. Behairy and M. S. Khorsheed", title = "Improving Image Quality in Remote Sensing Satellites using Channel Coding", abstract = "Among other factors that characterize satellite communication
channels is their high bit error rate. We present a system for
still image transmission over noisy satellite channels. The system
couples image compression together with error control codes to
improve the received image quality while maintaining its bandwidth
requirements. The proposed system is tested using a high resolution
satellite imagery simulated over the Rician fading channel. Evaluation
results show improvement in overall system including image quality
and bandwidth requirements compared to similar systems with different
coding schemes.", keywords = "Image Transmission, Image Compression, Channel
Coding, Error-Control Coding, DCT, Convolution Codes, Viterbi
Algorithm, PCGC.", volume = "1", number = "9", pages = "2683-6", }