基于AGA与GCV准则的小波阈值图像去噪研究

n image denoising algorithm based on wavelet transform and adaptive genetic algorithm is proposed. Aiming at counteracting the Gaussian noise and non-Gaussian noise, GCV is applied to constructed objective function without the estimation of noise power. Then based on adaptive genetic algorithm, every scale best thresholds are solved after decomposed by multiscale wavelet transform. Reconstructed signal is obtained by using the inverse wavelet transform after all coefficients are dealt with soft threshold method. Experimental results show that the algorithm is effective and can obtain optimal signal-to-noise ration . The algorithm can be performed fast, and detail information of the image can be preserved well.