An architecture for best-basis algorithm using threshold cost function for images

Wavelet-packet based best-basis selection has become a popular method for image compression particularly for the textured images. In this work, we propose architecture for the best basis algorithm for images using lifting-based wavelet transform and threshold function as cost function. The architecture for the best-basis selection from 2D wavelet packet is also described. The proposed architecture has been described in VHDL at the RTL level, simulated successfully for its functional correctness and implemented in FPGA