Algorithm of adaptive image de-noising based on curvelet transform

作者：Luo, Zhong-Liang^*; Lin, Tu-Sheng

来源：Systems Engineering and Electronics, 2009, 31(3): 515-517.

• Adaptive
• Adaptive methods
• Curve-let transforms
• Denoising methods
• High-dimensional
• Line singularity
• Multi-scale transforms
• Objective measurement

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.

• 出版日期2009-3
• 单位华南理工大学; 韶关学院