An Architecture Design of Threshold-Based Best-Basis Algorithm

Abstract

The best-basis algorithm has gained much importance on textured-based image compression and denoising of signals. In this paper, an architecture for the wavelet-packet based best-basis algorithm for images is proposed. The paper also describes the architecture for best-tree selection from 2D wavelet packet decomposition. The precision analysis of the proposed architecture is also discussed and the result shows that increase in the precision of input pixel greatly increases the Signal-to-Noise Ratio (SNR) per pixel whereas increase in the precision of filter coefficient does not greatly help in improving the SNR value. The proposed architecture is described in VHDL at the RTL level, simulated successfully for its functional correctness and implemented in an FPGA.