Robust still image coding using lapped transforms with block classification
A.L.A. da Cunha, Weiler A. Finamore, Eduardo A. B. da Silva · Proceedings - International Conference on Image Processing · 2003
Very efficient still image compression methods exist today, but most of them are not fit for transmission on error prone channels. One example of state-of-the-art robust image coding is the use of wavelet compression followed by forward error correction, as proposed by P.G. Sherwood and K. Zeger (see Proc. IEEE Data Compress. Conf, p.72-81, 1997); that method gives high coding efficiency but suffers from the incomplete decoding problem. An alternative to this is the joint source/channel coding scheme by Qing Chen and T.R. Fischer (see IEEE Trans. on Img. Proc., vol.7, no.4, p.496-505, 1998), which overcomes this difficulty at the expense of a lower PSNR performance. We propose a joint source/channel coding scheme with increased coding efficiency based on lapped transforms with block classification. With an efficient bit allocation strategy and the high coding gain of lapped transforms, a significant increase, of the order of 2 dB, in the PSNR versus BER performance has been obtained over the classical joint source/channel scheme on binary symmetric channels.