Optimal bit allocation for biorthogonal wavelet coding
DCC '96 Proceedings of the Conference on Data Compression
A Low-Complexity Modeling Approach for Embedded Coding of Wavelet Coefficients
DCC '98 Proceedings of the Conference on Data Compression
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
Fast adaptive wavelet packet image compression
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
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In wavelet based scalable video coding quality scalability is achieved using bit-plane coding techniques that result in embedded bit-stream. In order to minimise distortion when specific bit-rate is targeted, compressed data has to be optimally truncated in different layers that comprise the bit-stream. In this paper two methods for compressed bit-stream allocation are presented. First adopts assumption that same fractional bit-planes within same bit-planes of different wavelet subbands have nearly equal rate-distortion slopes, while the other takes into account the distortion caused by the quantisation of wavelet coefficients. First method is characterised by low complexity since distortion does not have to be assessed. For the second method, a simple yet effective statistical distortion model is derived. The experimental results show comparable performance of the two tested methods.