The Equivalence Conditions of Wavelet Shrinkage and Anisotropic Diffusion and Its Application in Denosing

摘要：

The Wavelet Shrinkage distinguish between signals and noises according to their wavelet coefficients amplitude, thus removing noises from noised signals by means of shrinkage. Anisotropic Diffusion diffuse signals according to gradients direction and amplitude by different degree at different direction, removing the noises from noised signals while protecting signals. In this paper, the equivalence condition of Wavelet Shrinkage and Anisotropic Diffusion was proposed. Then the signals denoising algorithm based on the equivalence of Wavelet Shrinkage and Anisotropic Diffusion was proposed. The results show that the new algorithm combines the advantage of Wavelet Shrinkage and Anisotropic Diffusion, therefore it possesses the better ability of denoising and keeping the high frequency property of signals.

关键词： Wavelet Shrinkage Anisotropic Diffusion Equivalence Denoising

作者: Gao Jun Zhu Jing-Fu

作者单位: College of Information Technology, HeiLongJiang BaYi Agricultural University Daqing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 502-505

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）