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

A novel algorithmic technique for reducing power and area consumption of th e discrete bracelet transform, (DWT) on CMOS-based DSP architectures is pre sented. The technique reduces power by combining the data-extension procedu re into the lifting based DWT core. It is demonstrated that the nc v algori thm can be used to obtain more than 50% reduction in the amount of memory r equired, leading to significant reduction in area and po vcr.