基于量子遗传算法的小波阈值去噪

On analyzing traditional wavelet threshold de-noising method,the threshold and threshold function were improved,then a new wavelet threshold de-noising method based on quantum genetic algorithm was proposed.Firstly,the noised signal was decomposed by multi-wavelet,Secondly,according to the distributions of wavelet coefficients in different scales,the traditional threshold was modified,then the optimal thresholds were determined by quantum genetic algorithm,Finally,through a new threshold function to achieve de-noising.Compared with the genetic algorithm and particle swarm algorithm optimized the wavelet threshold de-noising.Simulation results show that the proposed approach is more effective than traditional wavelet threshold de-noising method,can obtain smaller MSE and higher PSNR,while remove the noise while avoiding the loss of useful high-frequency information.