Rational Function Model Based Color Correction in Image Stitching Applications

In the field of image processing, color correction is usually used when there are significant differences in tone or brightness in the original images. This method is also often used as an image preprocessing method to assist many other applications. This paper introduces a method of color correction using rational function model and histogram. And we use two different mapping methods to get best stitching results according to different application scenarios. The problem of color discontinuity in many color correction algorithms is solved, and the experimental results show that our method has a faster time efficiency.