Different Exposure Images of the Same Scene Based on Matlab

Abstract

During the shooting process of the camera, the problem of overexposure or underexposure often occurs, leading to the loss of important information in the picture. In response to this problem, this article first restores the camera’s light response curve by taking multiple images with different exposures for the same static scene, combining the principle of least squares and the B-spline function fitting method, and obtaining the pixel values and exposure in the image the mapping relationship between them, and then fuse the scene photo images of different exposures into a high dynamic range image. Secondly, the synthesized high dynamic range image is deal with by Matlab program, and the exposure time is 8s, 1/2s, 1/30s, and 1/500s to reconstruct the image. Finally, experimental results show that the effects of the synthesized high dynamic range image and reconstructed exposure image are significant.