计算机工程与应用2012，Vol.48Issue(13)：176-180,5.DOI:10.3778/j.issn.1002-8331.2012.13.038
基于多参数小波阈值函数的图像去噪
Multi-parameter threshold function for image de-noising based on wavelet transform
摘要
Abstract
A new wavelet threshold function is proposed for images of strong Gaussian noise. The traditional soft threshold de-noising method has a significant effect, but not ideal effect of strong Gaussian noise. In the soft threshold function, this paper constructs a new wavelet threshold function; the function contains the threshold value k , adjustable factor t and n , which can adjust to the adaptive threshold changes. The experiment adopts the noised image and de-noised image Peak Signal to Noise Ratio (PSNR) criterion of maximize, based on Particle Swarm Opti-mization(PSO) using function selection parameters. The simulation results show that this method can not only effectively remove the noise, but also to avoid the loss of high frequency information useful to improve the signal to noise ratio. Especially in the strong Gaussian noise, the proposed method can relatively improve PSNR 6~7 dB than soft threshold method, it shows that this proposed threshold method can effectively reduce strong Gaussian noise on images.关键词
小波变换/阈值法/图像去噪/PSO算法Key words
wavelet transform/ threshold/ image de-noising/ PSO algorithms分类
信息技术与安全科学引用本文复制引用
杨静,吴成茂,屈汉章..基于多参数小波阈值函数的图像去噪[J].计算机工程与应用,2012,48(13):176-180,5.基金项目
陕西省自然科学基金(No.2009JM8004) （No.2009JM8004）
陕西省教育厅资助项目(No.09JK724,No.2010JK816). （No.09JK724,No.2010JK816）
