Integer fast wavelet transform and its VLSI implementation for low power applications

This paper presents a new approach to the design of integer wavelet filters and an efficient VLSI architecture for low power implementation. Instead of using the lifting scheme, power-of-two wavelet coefficients are derived directly from the roots of the half-band filter. Based on the integer wavelets, we introduce a fast integer Discrete Wavelet Transformation (IntDWT). The proposed integer transform for (9,7) filters requires only 17 integer additions and 15 shift operations. It, however, achieves the same coding efficiency as the floating-point approach. In the proposed VLSI architecture, several optimization techniques are used to remove the redundancy of computational units along the data path. The hardware and software simulation results show that both high performance and low power consumption for DWT chipset can be accomplished at the algorithm architecture level.