摘要
针对红外图像边缘模糊和非均匀性噪声强的特点,提出了一种基于加权的自适应红外图像边缘增强方法。该方法不仅增强红外图像边缘,而且改善了传统边缘增强算法对图像噪声放大的缺点,避免了对强边缘的过渡增强导致图像出现过增强现象,改善了图像质量。实验结果表明,该方法具有良好的前景和实用价值。
In order to improve the infrared-image quality, this paper introduces a kind of adaptive filter based on adaptive coefficientset to enhance the edge without the noise enhancement. This algorithm enhances the edge of the image, avoids enlarged the noise, and avoids saturating the strong edges. As it is shown in experiments, this algorithm has practical and potential application value in the field of infrared images contrast enhancement.
出处
《南京工业职业技术学院学报》
2007年第4期15-17,共3页
Journal of Nanjing Institute of Industry Technology
关键词
边缘增强
锐化
加权系数函数
edge enhancement
sharpening
coefficient function
