Research on Colour Correction in Image Stitching With Equal Depth of Field

In the process of stitching images with equal depth of field, there are certain differences in brightness and colour between the stitched images, leading to the problem of large differences in brightness and colour at the seams of the stitched images. This affects people's visual effect, which in turn affects some related algorithmic effects on the basis of stitching big picture, so solving the problem of colour inconsistency in equal depth of field image stitching is an important research topic. Some existing methods for processing colour correction of a stitched image include global colour correction methods and local colour correction methods, while the local colour correction methods includes simple local correction methods and colour correction methods that fully considers local features of the image. However, the above methods suffer from inefficiency or poor image correction. In this regard, under the assumption that the colour features around the seams of a stitched large image are similar, a method for eliminating colour inconsistencies in stitched images using local statistical features in the region near the stitch line is proposed. The colour inconsistency in the stitched image is effectively solved by firstly calculating the difference between the colour statistical features in the region near the seams of the stitched images, then using the difference to correct the region near the two sides of the stitch, and finally extending it to the whole image for colour correction. The experimental results show that the method in this paper is simple and effective, which can keep the structure of the original image intact and improve the colour correction effect of the stitched image with better visual effect.