用局部对比度信息改善图像质量

Using Contrast Information for the Enhancement of Image

在图像的摄取和传输中,图像经常降质。为了改善图像质量,将信息熵的概念与图像的局部对比度信息相结合,提出了一种基于熵概念的非线性噪声的滤除方法,并进一步利用局部统计信息对图像进行增强。分别对模拟图像以及红外图像进行了试验,并与中值滤波、Lee滤波、Frost滤波等经典噪声滤波方法进行比较,实验结果验证了该方法的有效性。

The images are usually degraded during capturing and transferring. To improve the quality of images, a method that uses the local contrast information combined with the entropy concept to suppress the nonlinear noise in images is described here. Furthermore, images are also enhanced by local contrast information. This method is compared with other classic denoising methods, such as median filter, Lee filter, Frost filter and so on. The experimental results of the simulations and application to synthetic noised images and infrared images prove the good performance of the proposed method.