Optimized Wavelet Filter from Genetic Algorithm, for Image Compression

This article proposes an optimized wavelet filter for image compression whose coefficients are derived from a genetic algorithm. In contrast to other existing wavelet filters like db4, bior 5.5 and rbior 4.4, the wavelet filter produced here delivers highly accurate fidelity parameters. With regard to PSNR, MSE and SSIM at different thresholds (bpp), the comparative output studies were performed with different existing wavelet filters and the proposed wavelet filters. The simulation results presented in this paper show that the proposed image compression filters have improved efficiency and performance.