Underwater Camera Color Restoration Technology

The main technologies for underwater camera color restoration are as follows:

By adding specific optical filters in of the lens, the light components in water that affect the color of the image are filtered out, thereby relatively enhancing the original color characteristics of the target object. example, in shallow and clear water, a red filter can be used to compensate for the red light absorbed by the water, making the image colors closer to reality

This technology takes into account the different attenuation of different wavelength lights in water, estimates the optical of the water from the underwater image, selects specific standard wavelengths for the red, green, and blue color channels to estimate the transmission function, and then inversely the imaging model to achieve color restoration. This can effectively improve the contrast of underwater images and correct distorted colors.

First, the underwater image is normalized and other processing is done to obtain a dark channel gray image, which is then used to more accurately estimate the background light intensity at infinity in environment. The transmission function for each color channel is then calculated, and finally, the restored RGB original image is generated. This can better restore the color and of the image.

Using advanced deep learning algorithms and image processing techniques, such as the AI underwater color correction solution from Meicam Technology can automatically identify and analyze the color characteristics of underwater photos and videos, intelligently adjust the color balance and saturation, and eliminate color bias. It can also adapt adjust according to different shooting environments and lighting conditions, without the need for complex post-processing, and can complete color correction in real-time on the device.

Using the polarization sensitivity of metasurfaces and the optical rotation characteristics of liquid crystals, the polarization state of the incident light is continuously adjusted electrically controlled liquid crystals, thereby adjusting the transmission rate of different color lights. The metasurface then filters out the required color light, solving the problem of color distortion caused by non-uniform absorption and scattering of light by particles in the water.