Shape-Optimizing and Illumination-Smoothing Image Stitching

Image stitching is usually subject to projective distortion and color difference problems. This paper presents an illumination-smoothing image stitching method based on the shape-optimizing hybrid transformation. An automatic mesh generation strategy is especially designed to reduce the calculation of the hybrid transformation within a reasonable range and guarantee the accuracy of image alignment. We consider stitching multiple images while constraining the distortion with the hybrid transformation and alleviate the color difference. In this paper, the method of color correction is adapted according to the characteristics of image stitching so as to achieve illumination-smoothing results. Moreover, the triangulation of the matching feature points is used to partition the color regions of the image and then more abundant color information is obtained for the calculation of the color transformation model. For general horizontal images, our method can achieve better results with less distortion in comparison with state-of-the-art methods. Various experimental results validate our new method.