Multi-exposure image fusion based on improved pyramid algorithm

Multi-exposure image fusion technology is the fusion of images with different exposure to the same scene into a high-quality image containing more scene information. In order to solve the problem that the existing algorithm is not rich in image details and easy to generate ghost, this paper proposes a multi-exposure image fusion algorithm based on improved pyramid transformation. The algorithm in this paper improves the local contrast information of the image by using adaptive histogram equalization algorithm, and calculates the weight coefficient of image fusion with contrast information, image entropy and well- exposedness, so that the resulting image details are richer and the fusion results are more natural.