An Efficient Architecture for Entropy-Based Best-Basis Algorithm

In this work, we propose an architecture for the wavelet-packet based best-basis algorithm for images using Shannon entropy as cost function. The algorithm for the logarithm implementation for integers using Taylor series is also proposed to implement Shannon entropy. The proposed architecture includes the architectures for the best-tree selection. The execution time of the proposed hardware for the best-basis algorithm for images is compared to its software implementation. The proposed best-basis architecture has been described in VHDL at the RTL level, simulated successfully for its functional correctness and implemented in an FPGA.