Data Compression: The Complete Reference
Data Compression: The Complete Reference
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Combined line-based architecture for the 5-3 and 9-7 wavelet transform of JPEG2000
IEEE Transactions on Circuits and Systems for Video Technology
Automated dynamic throughput-constrained structural-level pipelining in streaming applications
Proceedings of the conference on Design, automation and test in Europe
High-speed FPGA implementation for DWT of lifting scheme
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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The JPEG2000 standard defines the discrete wavelet transform (DWT) as a linear space-to-frequency transform of the image domain in an irreversible compression. This irreversible discrete wavelet transform is implemented by FIR filter using 9/7 Daubechies coefficients or a lifting scheme of factorizated coefficients from 9/7 Daubechies coefficients. This work investigates the tradeoffs between area, power and data throughput (or operating frequency) of several implementations of the Discrete Wavelet Transform using the lifting scheme in various pipeline designs. This paper shows the results of five different architectures synthesized and simulated in FPGAs. It concludes that the descriptions with pipelined operators provide the best area-power-operating frequency trade-off over non-pipelined operators descriptions. Those descriptions require around 40% more hardware to increase the maximum operating frequency up to 100% and reduce power consumption to less than 50%. Starting from behavioral HDL descriptions provide the best area-power-operating frequency trade-off, improving hardware cost and maximum operating frequency around 30% in comparison to structural descriptions for the same power requirement.