Embedded image-coding algorithm using set partitioning in block trees of wavelet coefficients

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In this paper, we propose a simple but efficient wavelet-based embedded image coder that employs a new inter-band magnitude relationship in the wavelet coefficients and block trees. The proposed scheme includes multi-level dyadic wavelet decomposition, raster scanning within each subband, formation of block trees, partitioning of block trees and adaptive arithmetic entropy coding. Although the proposed scheme is simple, it produces a bitstream with a rich set of features, including SNR scalability and the embedded nature. Experimental results demonstrate that the new scheme is quite competitive to and outperforms other good image coders in the literature.