Quantifying and enhancing power awareness of VLSI systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - System Level Design
Power Aware Design Methodologies
Power Aware Design Methodologies
Integrated Rate Control and Entropy Coding for JPEG 2000
DCC '04 Proceedings of the Conference on Data Compression
Efficient architectures for 1-D and 2-D lifting-based wavelet transforms
IEEE Transactions on Signal Processing
Flipping structure: an efficient VLSI architecture for lifting-based discrete wavelet transform
IEEE Transactions on Signal Processing
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose an efficient pipeline architecture for the DWT 9/7 filter defined in JPEG 2000. The proposed architecture is composed of column and row processors to perform the separable 2-D DWT. Based on the rescheduling DWT algorithm, we derive a new data flow graph to shorten the critical path. The proposed 1-D column processor requires less pipeline registers to achieve about the same critical path compared with other lifting-based architectures. For the row processor, the data dependency of each lifting step is reduced to only two computation nodes and therefore more pipeline registers can be applied to achieve higher processing speed without increasing the internal memory size in the 2-D case. That is, for an N驴脳驴N image, it only requires 4N internal memory to perform the row-wise transform. For the memory bit-width analysis, we use software simulation to reduce the memory bit-width for various compression ratios. Since a portion of information from least significant bits of DWT coefficients would be discarded after EBCOT-tier2 processing, one can decrease the data width of internal memory to perform various compression ratios of JPEG 2000 coding, especially at the low-bit rates. Our simulation results suggest that it is practically possible to design the energy-aware memory architecture to further reduce the power consumption in the future work.