On the optimality of embedded deadzone scalar-quantizers for wavelet-based L-infinite-constrained image coding

Summary form only given. Several methods for L_∞-distortion constrained compression have been proposed that target a set of fixed reconstruction-error bounds. Recently, a wavelet-based L_∞-constrained embedded image-coding technique was proposed that guarantees the required distortion bound while retaining the coding performance and scalability option state-of-the-art wavelet-based L_∞-oriented codecs. The optimality of embedded deadzone scalar-quantizers for high-rate L_∞-constrained scalable wavelet-based coding of images was analyzed. The optimal quantizers were employed in a coding algorithm that outperforms embedded L_∞-oriented wavelet-coders in terms of maximum absolute error. The algorithm was briefly described and coding results were provided.