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Low power embedded extension algorithm for lifting-based discrete wavelet transform in JPEG2000

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2 Author(s)
K. C. B. Tan ; Dept. of Electr. Eng., Edinburgh Univ., UK ; T. Arslan

A novel algorithmic technique for reducing power and area consumption of the discrete wavelet transform (DWT) on CMOS-based DSP architectures is presented. The technique reduces power by combining the data-extension procedure into the lifting-based DWT core. It is demonstrated 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

Published in:

Electronics Letters  (Volume:37 ,  Issue: 22 )