基于曲波变换的自适应图像去噪算法

曲波变换是一种新的多尺度变换理论,具有各向异性的特征,可以很好地逼近含线奇异的高维函数。利用曲波变换和经验贝叶斯估计的方法,提出一种新的自适应图像去噪方法,在曲波分解的基础上,由贝叶斯决策理论方法来导出估计法则,从而获得贝叶斯估计值。实验结果表明,与其他几种常用的去噪方法相比,本方法去噪后,图像获得较好的视觉效果,同时客观评价指标明显改进,在较大噪声的情况下更能显示出其优势。

Algorithm of adaptive image de-noising based on curvelet transform

Curvelet is a new multiscale transform theory,which has the characteristics of anisotropy.It can approach a high dimensional function containing line singularity better.Based on curvelet decomposition,Bayesis estimation is obtained by the estimate rule derived from Bayesis theory is obtained.A new adaptive method of image de-noising based on the curvelet domain and empirical Bayesis estimation is proposed.The experiments show that compared with the other de-noising methods,the proposed approach can obtain better visual quality and improve objective measurements,which can demonstrate the advantage under the larger noise situation.