Low power embedded extension algorithm for lifting-baseddiscrete wavelet transform in JPEG2000
K.C.B. Tan, T. Arslan · Electronics Letters · 2001
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.