A Restoration Method for Fog Image Based on BP neural network
Li K · Microcomputer Information · 2011
In this paper, a new method is proposed for image restoration for fog image based on the Partical Swarm Optimization BP neural network. It does not need atmospheric mode, and the nonlinear mapping relationship between the fog image and its clear image is established by training the BP neural network which has the ability of learning, remembrance and generalizing with a group of sample images. Then fog image which needs restoring could be restored by the trained neural network. The experimental results show that the restored images are clearer and have high contrast and the visual quality has been improved significantly.