Image Denoising Based on Multiple Wavelet Representations and Universal Hidden Markov Tree

摘要：

Wavelet-domain universal hidden Markov tree (uHMT) simplify the hidden Markov tree (HMT) model to specify it with just only mine parameters(independent of the size of the image and the number of wavelet scales) by exploiting the inherent self-similarity of real-world images, but it become less accurate. Multiple wavelet representations have excellent performance in image denoising. In this paper, combining the multiple wavelet representations with the uHMT and using their advantages in image denoising, we propose a new image denoising algorithm, called M-uHMT. It is simple and effective. Simulation results show that the proposed M-uHMT can achieve the state-of-the-art image denoising performance at the low computational complexity.

关键词： Image denoising universal hidden Markov tree multiple wavelet representations

作者: Wei Zhang Qingmei Sui Weihua Liu Qi Jiang

作者单位: School of Control Science Shandong University Jinan, Shandong Province;College of Automation and Ele School of Control Science Shandong University Jinan, Shandong Province

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）