Improved Adaptive Wavelet Threshold for Image Denoising
Adaptive wavelet threshold for Bayes shrink (Bayes threshold) is a simple and effective method for image denoising. Multiple wavelet representations have excellent performance in image denoising. In this paper, combining the multiple wavelet representations with the Bayes threshold and using their advantages in image denoising, proposes a new image denoising algorithm which called M-Bayes threshold. It is simple and effective. Simulation results show that the proposed M-Bayes threshold can achieve the state-of-the-art image denoising performance at the low computational complexity.
Image denoising Adaptive wavelet threshold Bayes shrink Multiple wavelet representations
Wei Zhang Fei Yu Hong-mi Guo
School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingd School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingd
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
5958-5963
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）