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Robust significance-linked connected component analysis for low complexity progressive image transmission over noisy channels

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2 Author(s)
Vass, J. ; Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA ; Zhuang, S.

A highly robust channel coding scheme to be seamlessly integrated into our previously developed high performance wavelet based significance-linked connected component analysis (SLCCA) image coding technique is proposed. The SLCCA source coding algorithm is slightly modified to enable synchronization after each bit-plane. Thus even after uncorrectable errors, the decoding can be continued at the next refinement level. An unequal error protection scheme is also developed by using Reed-Solomon codes. The proposed scheme outperforms P.G. Sherwood and K. Zeger's technique (1997; 1998) by 0.66 dB on average for the “Lena” image in peak signal-to-noise ratio. Furthermore, the proposed codec has very low computational complexity, well applicable for the power constrained mobile scenario

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Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on  (Volume:1 )

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