Computational ghost imaging in turbulent water based on self-supervised information extraction network

•We leverage the strengths of neural networks in extracting information to improve image quality for ghost imaging.•We propose an information extraction network to remove redundant information unrelated to the object.•By utilizing light intensity as a label, our method enhances the versatility across various environments.