Scalable low-complexity B-spline discrete wavelet transform architecture

This work presents a scalable Discrete Wavelet Transform architecture based on the B-spline factorization. In particular, we show that several wavelet filters of practical interest have a common structure in the distributed part of their B-spline factorization. This common structure is effectively exploited to achieve scalability and to save multipliers compared with a direct polyphase B-spline implementation. Since the proposed solution is more robust to coefficient quantization than direct polyphase B-spline, it features further complexity reduction. Synthesis results are reported for a 130 nm CMOS technology to enable accurate comparison with other implementations. Moreover the performance of the new wavelet transform architecture, integrated in a complete JPEG2000 model, have been collected for several images.