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Unequal Error Protection for Region of Interest with Embedded Zerotree Wavelet
Abstract:
This paper describes a new method of unequal error protection (UEP) for region of interest (ROI) with embedded zerotree wavelet algorithm (EZW). ROI technique is important in applications with different parts of importance. In ROI coding, a chosen ROI is encoded with higher quality than the background (BG). Unequal error protection of image is provided by different coding techniques. In our proposed method, image is divided into two parts (ROI, BG) that consist of more important bytes (MIB) and less important bytes (LIB). The experimental results verify effectiveness of the design. The results of our method demonstrate the comparison of the unequal error protection (UEP) of image transmission with defined ROI and the equal error protection (EEP) over multiple noisy channels.Keywords: embedded zerotree wavelet (EZW), equal error protection (EEP), region of interest (ROI), RS code, unequal error protection (UEP)
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1084640
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[1] J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Transactions on Signal Processing, vol. 41, no. 12, pp. 3445-3462, 1993.
[2] V. S. Shingate, T. R. Sontakke and S. N. Talbar, "Still Image Compression using Embedded Zerotree Wavelet Encoding," International Journal of Computer Science & Communication, vol. 1, no. 1, pp. 21-24, 2010.
[3] D. Vijendra Babu and N. R. Alamelu, "Wavelet Based Medical Image Compression Using ROI EZW," International Journal of Recent Trends in Enginnering, vol. 1, no. 3, pp. 97-100, 2009.
[4] T. M. P. Rajkumar and M. V. Latte, "ROI Based Encoding of Medical Images: An Effective Scheme Using Lifting Wavelets and SPIHT for Telemedicine," International Journal of Computer Theory and Engineering, vol. 3, no. 3, pp. 338-346, 2011.
[5] M. Tamilarasi and V. Palanisamy, "Fuzzy Based Image Compression on ROI using Optimized Directional Contourlet Transform," International Journal of Recent Trends in Enginnering, vol. 2, no. 5, pp. 217-221, 2009.
[6] Y. Yatawara, M. Caldera, T. M. Kusuma and H.-J. Zepernick, "Unequal Error Protection for ROI Coded Images over Fading Channels," Systems Communications ICW-05, pp. 111-115, 2005.
[7] M. H. Le and R. Liyana-Pathirana, "Unequal Error Protection Codes for Wavelet Image Transmission over W-CDMA, AWGN and Rayleigh Fading Channels," 10th International Conference on Telecommunications (ICT 2003), vol. 2, pp. 1140 - 1146, 2003.
[8] B. Masnick and J. Wolf, "On Linear Unequal Error Protection Codes," IEEE Trans, Inform, Theory, vol. IT-13, pp. 600 - 607, 1967.
[9] C. Chapman, S. Sanei, R. Dilmaghani, and F. Said, "Progressive transmission of medical images using embedded Zerotree wavelet encoding," Proceedings of IEEE International Workshop on Biomedical Circuits and Systems (BioCAS -04), pp. S3.3-9-S3.3-12, 2004.
[10] J. L. Lo, S. Sanei and K. Nazarpour, "An Adaptive Source - Channel Coding with Feedback for Progressive Transmission of Medical Images," International Journal of Telemedicine and Applications, vol. 2009, no. 519417, pp. 1 - 12, 2009.
[11] L. Liu and G. A. Fan, "New JPEG 2000 Region-of-Interest Image Coding Method: Partial Significant Bitplanes Shift," IEEE Signal Processing Letters, vol. 10, no. 2, pp. 35-38, 2003.
[12] Z. Wang and A. C. Bovic, "Bitplane-by-Bitplane Shift (BbBShift) - A Suggestion for JPEG 2000 Region of Interest Coding," IEEE Signal Processing Letters, vol. 9, no. 5, pp. 160-162, 2002.
[13] F. Idris and F. Atef, "An Efficient Method for Region of Interest Coding in JPEG 2000," 5th WSEAS International Conference on Signal Processing, pp. 65-69, 2006.
[14] M. J. T. Smith and S. L. Eddins, "Analysis/Synthesis Techniques for Subband Image Coding," IEEE Trans. Acoust., Speech, and Signal Proc., vol. 38, no. 8, pp. 1446 - 1456, 1990.
[15] M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, "Image coding using wavelet transform," IEEE Transactions of Image Processing, vol. 1, no. 2, pp. 205-220, 1992.
[16] F. Etemadi, and H. Jafarkhani, "An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory," IEEE Trans. Multimedia Sig. Proc., vol. 8, no. 6, pp. 1291-1298, 2006.
[17] V. M. Stankovic, R. Hamzaoui, Y. Charfi, and X. Zixiang, "Realtime unequal error protection algorithms for progressive image transmission." IEEE J. Sel. Areas Commun., vol. 21, no. 10, pp. 1526 - 1535, 2006.
[18] W. Song, C. Kim and S. Lee, "Progressive compression and transmission of PointTexture images," J. Visual Comm. Image Rep., vol. 17, no. 5, pp. 1090-1107, 2006.
[19] P. H. Westerink, "Subband coding of images," PhD thesis, Technische Universiteit Delft, 1989.
[20] H-S. Kong, A. Vetro, T. Hata and N. Kuwahara, "Fast Region-of- Interest Transcoding for JPEG 2000 Images," IEEE International Symposium on Circuits and Systems (ISCAS), vol. 2, pp. 952-955, 2005.
[21] J. Oliver and M. P. Malumbres, "An Implementation of the EZW Algorithm," Universidad Jaume I (SNRFAI 2001), pp. 37-42, 2001.
[22] A. P. Bradley and F. W. M. Stentiford, "JPEG 2000 and Region of Interest Coding," Digital Image Computing Techniques and Applications (DICTA), vol. 303-308, 2002.
[23] T. K. Moon, Error correction coding - Mathematical methods and algorithm. New Jersey: John Wiley & Sons, 2005, ch. 6.
[24] M. Oravec, J. Pavlovi─ìov├í, J. Mazanec, ─¢. Omelina, M. Féder and J. Ban, "Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition," Reviews, Refinements and New Ideas in Face Recognition (InTech), pp. 181-206, 2011.