摘要
图像噪声去除是否有效将直接影响后续图像处理的质量,为了在消除噪声的同时保持图像边缘细节,提出一种结合平稳小波变换及形态学处理的新算法。该算法利用平稳小波相位不变性的特点,充分考虑小波系数的层内相关性;同时结合形态学的方法对图像的边缘信息进行估计;最后通过选择性质相似的区域进行阈值去噪。实验结果表明,该方法在降低了图像噪声的同时又有较好的视觉效果。
Image noise will degrade image quality and subsequent image processing will be affected. To eliminate noise while keeping image edge details, a new algorithm was proposed. It took full consideration of wavelet coefficients correlation using the phase invariance, and estimated the skeleton information in reference to morphology, and performed de-noising based on the selected congenial and irregular regions. The experimental results demonstrate that the proposed algorithm can keep details of images as well as reduce image noises.
出处
《计算机应用》
CSCD
北大核心
2010年第10期2808-2810,共3页
journal of Computer Applications
关键词
图像去噪
平稳小波变换
边缘检测
图像融合
形态学
image de-noising
stationary wavelet transform
edge detection
image fusion
morphology