A scalable pipelined architecture for separable 2-D discrete wavelet transform
Jer Min Jou, Pei‐Yin Chen, Yeu-Horng Shiau, Ming-Shiang Liang · 1999
This paper presents a highly scalable efficient architecture for separable 2-D Discrete Wavelet Transform (DWT) which is simple, regular, modular and pipelined for the computation of 2-D DWT. With these properties, it is easily scalable for different filter lengths and different octave levels. In addition, the architecture has the characteristics of lower hardware cost, shorter latency, and higher throughput rate.