两种典型彩色图像增强算法的比较与研究

Research on two typical color image enhancement algorithms

图像增强的目的是改善图像的视觉效果,根据不同的应用场合,有目的地强调图像的整体或局部特性,扩大图像中不同物体特征之间的差别,满足某一领域特殊分析的需要。本文对于两种典型彩色图像增强算法即白平衡算法和伪彩色法图像增强处理技术进行了研究和实验仿真,且对仿真结果进行了研究与分析,结果表明白平衡法图像增强处理方法对于纠正彩色图像的偏色现象效果很好;伪彩色图像增强方法可以使处理后的图像特点更加突出,而且能够很好的保持与原图像的连贯性。

The image enhancement techniques is very important to improve the picture visual effect.It is necessary to emphasize the overall or local characteristics of the image according to the application in different areas.Still to expand the differences between the objects’features in the image is important needs for the special analysis in a certain field.Two typical color image enhancement algorithms which are white balance algorithm and pseudo-color image enhancement technology are studied and simulated in this paper.The simulation results show that the white balance image enhancement method has a good effect on correcting the bias of color image.And pseudo-color image enhancement method can make the image features more prominent compared with the original image.Besides it can maintain good coherence with the original image.