A Scalable Architecture for MPEG-4 Wavelet Quantization
Journal of VLSI Signal Processing Systems - Special issue on implementation of MPEG-4 multimedia codecs
Non-Memory-Based and Real-Time Zerotree Building for Wavelet Zerotree Coding Systems
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
SPRINT: a tool to generate concurrent transaction-level models from sequential code
EURASIP Journal on Applied Signal Processing
M-LTW: A fast and efficient intra video codec
Image Communication
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
E-LTW: an enhanced LTW encoder with sign coding and precise rate control
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
On the use of genetic algorithms to improve wavelet sign coding performance
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
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The embedded zerotree wavelet (EZW) algorithm has become a popular benchmark for image compression algorithms. The current paper presents a fast technique for identifying zerotrees for all dominant passes in the encoder prior to encoding. The key is initializing a data structure called a zerotree map with the largest power of two smaller than a given coefficient, and then completing the zerotree map by bitwise-ORing the values of potential parents with those of their children. This simple operation can be performed in parallel with the wavelet transform operation and thus is efficient for both hardware and software implementations.