摘要
图像在生成、传输过程中,常受到噪声干扰,为此,许多研究者探讨小波阈值萎缩法在去噪中的应用,而该法的关键之处在于阈值函数的选取,针对最近出现的几种改进型阈值函数,提出利用仿真技术在不同强度高斯噪声下进行图像去噪的比较研究。实验结果表明,多层阈值函数获得较高的峰值信噪比和较好的图像视觉效果。
In the process of image generation and transmission,it is often contaminated by noise.Therefore,many researchers have discussed the ap⁃plication of wavelet threshold shrinkage method in image denoising,and the key point of this method is the selection of threshold function.In view of several recently improved threshold functions,this paper proposes a comparative study of image denoising using simulation study under different intensity of Gaussian noise.The experimental results show that the multi-layer threshold function has a higher Peak Signalto-Noise Ratio(PSNR)and a better visual effect.
作者
解令楠
XIE Ling-nan(School of Electronic and Optical Engineering,Nanjing University of Science&Technology,Nanjing 210094)
出处
《现代计算机》
2020年第17期55-57,共3页
Modern Computer
