Abnormal Exposure Image Self-Adaptive Correction Algorithm

In the process of taking photos, there are often cases where the photo is not properly exposed: such as overexposure or underexposure, a large amount of information and details cannot be displayed on the photo in the event of an abnormally exposed photo. In order to self-adaptively correct the abnormal exposure image, an Abnormal exposure image self-adaptive correction algorithm is proposed. Firstly, by first measuring the brightness of the scene of the image and comparing it with the brightness threshold that we have measured in advance, the exposure state of the image is judged. Secondly, overexposure and underexposure correction are respectively performed according to different states, and finally the normal exposure state is synthesized. image. It is proved by experiments that the algorithm can self-adaptively judge the exposure state of the image and can perform different exposure state corrections.