西安工程大学学报2011，Vol.25Issue(6)：857-861,866,6.
基于贝叶斯估计自适应软硬折衷阈值 Curvelet 图像去噪技术
The image denoising method of soft and hard adaptive thresholding based on Curvelet transform and Bayesian estimation
摘要
Abstract
According to the defects of soft thresholding and hard thresholding image denoising methods,the image denoising method of soft and hard adaptive thresholding is proposed based on Curvelet transform and Bayesian estimation image denoising. Experiment results show that the new method has the advantages in denoised images with higher quality recovery of edges. It is capable for achieving the higher peak signal-to-noise ratio (PSNR) and giving better visual quality.关键词
脊波变换/Curvelet变换/贝叶斯估计/图像去噪Key words
ridgelet transform/Curvelet transform/Bayesian estimation/image denoising分类
信息技术与安全科学引用本文复制引用
杨国梁,雷松泽..基于贝叶斯估计自适应软硬折衷阈值 Curvelet 图像去噪技术[J].西安工程大学学报,2011,25(6):857-861,866,6.基金项目
陕西省教育厅专项科研基金项目(2010JK595) （2010JK595）
西安工业大学校长科研基金项目(XGYXJJ1006) （XGYXJJ1006）
