一种新型硬阈值算法在图像去噪中的应用  

New Algorithm Applied to Image De-noising Processing Based on Hard-threshold Algorithm

作　　者：周亮[1] 

机构地区：[1]南京邮电学院信息工程系,江苏南京210003

出　　处：《军事通信技术》2005年第S1期6-10,共5页Journal of Military Communications Technology

摘　　要：文中研究了传统的小波硬阈值算法,分析了传统硬阈值算法的优点与不足之处,然后在此基础上进行了深入的研究,针对传统算法的缺陷,提出了一种新算法。将新算法与传统算法进行了比较,经过严格的理论证明及实验验证,结果表明新算法具有较好的可操作性、易于实现,在处理高频信号时显示了强大的去噪能力,因而在一定程度上弥补了传统算法的缺陷,具有良好的应用前景。This paper introduced the traditional wavelet algorithm of de-noising (hard threshold algorithm), analyzed the advantages and disadvantages of traditional algorithm, then researched and compared it on a deeper step, bringing forward a new algorithm different from the traditional algorithm. Comparing the new algorithm with the traditional algorithm show clearly that the new algorithm has such advantages as: operable, easily implementable, capable of de-noising (low frequency), which can remedy the traditional algorithm to a certain extent. Finally, this paper summarized the new algorithm and directed the trend of improvement and development.

关 键 词：图像去噪 小波 阈值 硬阈值算法 新算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]