An embedded extension algorithm for the lifting based Discrete Wavelet Transform in JPEG2000
K. C. B. Tan, Tughrul Arslan · IEEE International Conference on Acoustics Speech and Signal Processing · 2002
This paper presents a novel algorithmic technique for reducing power and area consumption of the Discrete Wavelet Transform (DWT) when implemented in VLSI hardware. The technique reduces power by combining the data-extension procedure into the lifting-based DWT core resulting in a significant reduction in the amount of memory requirements and associated read/write operation together with a reduction in the number of arithmetic operations. This in turn has the effect of reducing the amount of switched capacitance within the hardware unit. We demonstrate that the new algorithm can be used to obtain more than 50% reduction in the amount of memory required leading to significant reduction in area and power.