摘要： 针对常规的去噪算法会引起图像边缘模糊,而在保留和增强图像边缘时又会影响图像的去噪效果的缺陷,提出了一种基于形态学的小波自适应去噪算法,利用多种结构元复合形态滤波器对噪声图像预处理,然后对处理后的图像采用小波自适应阈值进行二次滤波去噪,最后对图像进行重构得到去噪后的图像。实验表明,该算法能对受不同程度、类型的噪声污染的图像进行有效地的处理,并且在去噪时能保持更多的图像边缘。

关键词: 去噪, 多结构复合形态滤波器, 软阈值

Abstract: Since image edges illegibly or preserving and enhanced image edges will effect the denosing with general denoising algorithms,an adaptive wavelet transform of image denoising algorithm based on morphology is proposed improve to the shorting.The algorithm preprocesses the noised image with multi-structure compound morphology filter,then an adaptive thresh of wavelet transform filter it again,the reconstructed image is the result.The experiment proves that the algorithm can process different degree and different types noised image effectively,it can preserve more image edges as denoising.

中图分类号: 

• TN911.73