An Efficient MDC based Set Partitioned Embedded Block Image Coding
In this paper, fast, efficient, simple and widely used Set Partitioned Embedded bloCK based coding is done on Multiple Descriptions of transformed image. The maximum potential of this type of coding can be exploited with discrete wavelet transform (DWT) of images. Two correlated descriptions are generated from a wavelet transformed image to ensure meaningful transmission of the image over noise prone wireless channels. These correlated descriptions are encoded by set partitioning technique through SPECK coders and transmitted over wireless channels. Quality of reconstructed image at the decoder side depends upon the number of descriptions received. More the number of descriptions received at output side, more enhance the quality of reconstructed image. However, if any of the multiple description is lost, the receive can estimate it exploiting the correlation between the descriptions. The simulations performed on an image on MATLAB gives decent performance and results even after half of the descriptions is lost in transmission.
 S. D. Servetto, K. Ramchandran, & V.A Vaishampayan. (2000). Multiple description wavelet based image coding. IEEE Transactions on Image Processing, 9(5), 813-826.
 V. K. Goyal & J. Kovacevic. (2001). Generalized multiple description coding with correlating transforms. IEEE Transactions on Information Theory, 47(6), 2199-2224.
 V.K. Goyal. (2001). Multiple description coding: Compression meets the network. IEEE Signal Processing Magazine, 18(5), 74-93.
 A. Said & W.A. Pearlman. (1996). A new fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits and Systems for Video Technology, 6(3), 243–250.
 A. Islam & W.A. Pearlman. (1999). An embedded and efficient low-complexity hierarchical image coder. Available at:
 W.A. Pearlman, A. Islam, N. Nagaraj, & A. Said. (2004). Efficient, low-complexity image coding with a set-partitioning embedded block coder. IEEE Transactions on Circuits and Systems for Video Technology, 14(11), 1219–1235.
 K. Sayood. (2000). Introduction to data compression. (2nd ed.). Academic Press, Morgan Kaufmann Publishers.
 G. Strang & T. Nguyen. (1996). Wavelets and filter banks. Cambridge: Wellesley-Cambridge Press.
 Li Ze-Nian, Drew Mark S. (2004). Image compression standards in Fundamentals of multimedia. Prentice-Hall.
 Lewis A. S. & Knowles G. (1992). Image compression using the 2-D wavelet transform. IEEE Transaction on Image Processing, 244-250.