Underwater polarization image restoration based on Laplacian algorithm

Abstract

In order to solve the problem of underwater image quality degradation in the process of ship navigation，the image contrast enhancement technology and image enhancement algorithm based on polarization imaging were studied. In this technique, different angle fusion images are decomposed into multi-scale Pyramid image sequences based on polarization information. Gaussian convolution and Laplacian Pyramid algorithm are used for image fusion. Compared with the wavelet transform image fusion algorithm, it can be concluded that the SNR and SSIM values of underwater images are improved obviously. Experiments show that with attenuation coefficient of 2.1, the underwater imaging distance of the underwater polarization system reaches 6 m in the seawater environment, can clearly identify the objects and their characteristics in the water, and the system operates stably.

Keywords

• underwater laser imaging
• polarization imaging
• laplacian algorithm
• image fusion