With around 70% of the earth's oceans and seas, there is a huge amount of resources beneath the surface to be explored, exploited and utilised. However, due to the complexity and variability of the underwater environment, it is not easy to explore and discover the underwater world. The introduction of polarimetric imaging, with its multi-dimensional polarisation vector information compared to traditional optical imaging techniques, has attracted much academic attention and has led to a boom in the development of underwater polarimetric detection and processing techniques. When imaging underwater targets, the large number of particles and some soluble materials in the water column can cause absorption and scattering of light, resulting in severe attenuation of light energy entering the receiver, resulting in blurred and poor quality underwater images that are difficult to achieve for practical applications. The polarization characteristics of underwater targets under different illumination are the research content of this paper. CMOS cameras are used to polarize objects of different materials under different light sources. The polarisation information is fused to combine the advantages of the different polarisation vector images, and finally the image is enhanced using the Laplace edge enhancement technique to recover the degraded image.