基于二维离散小波变换的红外图像增强算法

ARITHMETIC OF INFRARED IMAGE ENHANCEMENT BASED ON THE DISPERSE OF TWO-DIMENSIONAL AND WAVELET TRANSFORM

针对红外图像对比度差、噪声较大的缺点,提出一种基于二维离散小波变换的红外图像增强方法。对红外图像进行离散小波变换后,得到图像各个方向的梯度信息,对该信息进行正则化和线性滤波,最后将图像复原,提高了红外图像对比度,同时也降低了噪声。实验结果表明,提出的方法在性能上优于传统的直方图均衡法和反锐化掩膜法。

Aiming at the bad contrast of infrared image and big noise, this article gives out an arithmetic of image enhancement based on the disperse of two-dimensional and wavelet transform. After the infrared image being dispersed and wavelet being transformed, a step info of all directions has been gained which, through regular and linear filtration, recovering of the image, improved the contrast and reduced the noise as well. The test indicates that above-mentioned method is superior to traditional histogram and anti-sharpening masking in performance.