利用导向滤波的宽动态范围图像增强技术（英文）

High dynamic range image enhancement technology based on guided image filter

随着现代CCD和CMOS相机阵列尺寸的增大,越来越多的像素被集成到焦平面阵列上。基于该项技术可以获取更高分辨率和更宽动态范围的图像,该图像包含了更多真实的细节信息。然而,在处理这种图像的时候,尽管图像具有宽动态范围,但是却无法显示图像的所有有用信息。一些技术已经被用于先进的相机以解决上述问题,但它们还是存在或多或少的缺点。因此,提出了一种新的宽动态范围图像增强算法。该算法使用导向图像滤波器对图像进行分割,然后同时处理被分割的基频层以及细节层。通过增强高频信号来突出细节层中图像的细节,同时使用策略处理基频层以控制灰度对比度。颜色饱和度可以通过两个层一起控制。通过细节层和基频层来增强原始宽动态范围图像,提高数字细节、灰度自适应以及颜色对比度。对算法进行了详细的分析。图像仿真示例显示该算法性能可靠。

The focal plane size of modem CCD/CMOS camera is getting bigger and bigger, that is to say, more and more pixels have been integrated on the focal plane array. Under this advance in technology, people can take a picture with higher resolution and higher dynamic range. The image contains much more information of the real world. A serious problem of dealing with such kind of image is that, although the image has high dynamic range, people cannot display all the information of it. Certain technologies have been applied on modem cameras to solve this problem, but they still have some defects. A novel high dynamic range image enhancement algorithm was raised, which used the guided image filter to separate the image and deal with the detail layer as well as the base layer. The high frequency information needs to be enhanced to highlight the detail of the image c n the detail layer. Meanwhile, the base layer controls the gray scale contrast which also needs to be prc cessed with certain strategy. The color saturation can be controlled by both two layers. The raw high dynamic range image can be enhanced both through the detail layer and the base layer to improve its digital detail, gray scale rearranging and the color contrast. Detailed analysis of the procedure and figure demonstration were illustrated to show the ability of this algorithm.