吴昌东, 江桦, 邱晓初. 基于提升小波的自适应阈值图像去噪方法[J]. 微电子学与计算机, 2010, 27(12): 18-21.
引用本文: 吴昌东, 江桦, 邱晓初. 基于提升小波的自适应阈值图像去噪方法[J]. 微电子学与计算机, 2010, 27(12): 18-21.
WU Chang-dong, JIANG Hua, QIU Xiao-chu. Adaptive Threshould Based on Lifting Wavelet for Image Denoising[J]. Microelectronics & Computer, 2010, 27(12): 18-21.
Citation: WU Chang-dong, JIANG Hua, QIU Xiao-chu. Adaptive Threshould Based on Lifting Wavelet for Image Denoising[J]. Microelectronics & Computer, 2010, 27(12): 18-21.

基于提升小波的自适应阈值图像去噪方法

Adaptive Threshould Based on Lifting Wavelet for Image Denoising

  • 摘要: 利用提升法对传统小波进行提升, 给出了用提升方法构造lifting-9.7小波的实现方法.针对图像去噪传统阈值选取的不足, 研究了一种基于提升小波的自适应阈值图像去噪方法.实验表明:该方法实现简单, 计算速度快, 处理后的图像清晰, 能量保持能力强, 提高了去噪后图像的信噪比, 去噪效果好.

     

    Abstract: Traditional wavelet is promoted by lifting scheme, the realization method of the lifting Daubechies (9.7) by lifting scheme is given out in this paper.As for the traditional choosing threshold way has many shortcomings an adaptive threshold based on lifting wavelet transform for image denoising is studied.Simulation illustrates that comparing to general wavelet transform, the new method not only has the advantage of easy coding, fast computation and strong energy, but also improves SNR more effectively, makes denoised image more clearly and keep excellent outcome.

     

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