Image De-noising Based on Nonparametric Adaptive Estimation in the Finite Ridgelet Domain
Ridgelet is a new signal analysis method which is especially suitable for describing the 2-D signals which have linear or super-plane singularities. Recently, an orthonormal version of ridgelet for discrete and finite-size images has been presented, named Finite Ridgelet Transform (FRIT). In this paper, we propose a new image de-noising method by FRIT with the threshold based on nonparametric adaptive estimation. Experiments show that this method represents the better characteristic than the traditional de-noising methods in wavelet domain and the de-noising methods based on donoho strategy.
Li Li Peng Yuhua Yang Mingqiang Xue Peijun
School of Information Science and Engineering Shandong University Jinan, Shandong, Peoples Republic School of Mathematics Shandong University Jinan, Shandong, Peoples Republic of China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
238-242
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）