基于多尺度形态小波变换的红图增强算法  

Multi-scale Morphological Wavelet Transform Based Infrared Image Edge Enhancement Algorithm

作　　者：简耀波[1] 阮双琛[2] 秦翰林[3] 周慧鑫[3] 

机构地区：[1]华中科技大学光电子科学与工程学院 [2]深圳大学电子科学与技术学院,广东深圳518060 [3]西安电子科技大学技术物理学院,陕西西安710071

出　　处：《微计算机信息》2008年第21期120-122,共3页Control & Automation

摘　　要：针对红外图像对比度差、信噪比低的特点,本文将小波分析与数学形态学相结合,提出了一种基于多尺度形态小波变换的红外图像边缘增强算法。该算法首先利用多尺度形态小波变换对图像进行分解,提取图像的多尺度边缘特征,然后通过非线性增强算子来改变边缘特征的强度,最后利用多尺度形态小波反变换重构图像,以实现图像边缘的对比度增强和背景抑制。实验结果表明,该算法有效地保持和增强了边缘信息,得到较好的增强效果。For infrared image with the characteristics of low contrast and low signal-to-noise, a morphological wavelet transform based infrared image edge enhancement algorithm is presented. Firstly, the morphological wavelet transform is adopted to decompose the input infrared image, which extracts the characteristic of multi-scale edge of the image. Then a nonlinear enhancement operator is used to enhance the details of image edge under deferent scale. Finally, the inverse transform of the morphological wavelet is ap- plied to synthesis image. The algorithm can avoid over-enhancement of noise and enhances contrast of image. A group of experimen- tal results demonstrate that the presented algorithm can enhance the infrared mage edge effectively.

关 键 词：红外图像 多尺度形态小波变换 图像边缘增强 

分 类 号：TN21[电子电信—物理电子学]