摘要
图像去噪是对图像进行进一步处理的基础,结合椒盐噪声信息与传统选择式掩模法提出了一种新的有效方法.该方法根据椒盐噪声的特点,采用噪声检测方法检测出可能是噪声的像素,对这些像素采用加权的选择式掩模法进行处理,而对非疑似噪声像素不做任何处理;在去除图像噪声的同时,可保持图像的细节和清晰度;对去除椒盐噪声效果较好,并且容易实现.给出了不同噪声量的情况下试验的对比图以及不同情况下的峰值信噪比的统计表.实验证明,该方法能得到很好的去噪效果.
The image de-noising is the basis for further processing. A new effective de-noising method is proposed with the combination of salt and pepper noise information and selective masking. Based on the characteristics of salt and pepper noise, this method detects the possible noise pixels. These possible noise pixels are dealt with by the weighted selective masking while the non-suspected noise pixels remain. Besides de-noising effect, the method keeps good details and clarity of processed images. The method is effective in removing salt and peper noise and easy to implement. Several comparative experiments in different noise types are given to verify the validity of the proposed method.
出处
《南京信息工程大学学报（自然科学版）》
CAS
2010年第2期103-106,共4页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
