Underwater image enhancement method based on weighted wavelet visual perception fusion

The invention provides an underwater image enhancement method based on weighted wavelet visual perception fusion. Firstly, a dynamic threshold value Idt traverses the whole gray scale range, and a stretching operation is executed on histograms on the left and right sides of the threshold value in each traversing; and the sum of the information entropies of the left and right histograms is calculated until the maximum value of the sum of the left and right information entropies is solved, and the corresponding separation threshold point at the moment is the optimal dynamic separation threshold. Then, the mean value of the local image block is approximated as a low-frequency component, and the low-frequency component is subtracted from the original local image block to obtain a high-frequency component; and finally, introducing a weighted wavelet visual perception fusion strategy, and obtaining a high-quality underwater image by fusing high-frequency and low-frequency components of images with different scales.