关键词: 图像去噪, 小波变换, 阈值函数, 人工蜂群算法

Abstract: Aiming at the defects existing in wavelet threshold denoising that it is difficult to select threshold and the quantization effect of threshold function is bad, an image denoising method based on artificial bee colony algorithm and parametric threshold function is proposed. Firstly, a new wavelet threshold function is designed, which has continuity, high-order differentiability and parameter adjustability. It can effectively solve the problems of the discontinuity in hard threshold function and the constant deviation in soft threshold function. Secondly, this method selects the optimal threshold through the artificial bee colony optimization algorithm, and then substitutes it into the new wavelet threshold function to denoise the noisy image. Finally, to compare the image denoising effects between the new threshold function and the traditional threshold functions, simulation experiment with MATLAB is carried out. The experimental result shows that the proposed threshold function based on ABC algorithm has a better image denoising effect than the traditional ones.

Key words: image denoising, wavelet transform, threshold function, Artificial Bee Colony（ABC） algorithm