A Low - Complexity Modeling Approach forEmbedded Coding of Wavelet Coe

We present a new low-complexity method for modeling and coding the bitplanes of a wavelet-transformed image in a fully embedded fashion. The scheme uses a simple ordering model for embedding, based on the principle that coeecient bits that are likely to reduce the distortion the most should be described rst in the encoded bitstream. The ordering model is tied to a conditioning model in a way that deinterleaves the conditioned subsequences of coeecient bits, making them amenable to coding with a very simple, adaptive elementary Golomb code. The proposed scheme, without relying on zerotrees or arithmetic coding, attains PSNR vs. bit rate performance superior to that of SPIHT, and competitive with its arithmetic coding variant, SPIHT-AC.