Color Registration of Underwater Images for Underwater Sensing with Consideration of Light Attenuation

Colors of objects observed in underwater environments are different from those in air. This is because the light intensity decreases with the distance from objects in water by light attenuation. Robots on the ground or in air usually recognize surrounding environments by using images acquired with cameras. The same is/will be true of underwater robots. However, recognition methods in air based on image processing techniques may become invalid in water because of light attenuation. Therefore, we propose a color registration method of underwater images. The proposed method estimates underwater environments where images are acquired, in other words, parameters essential to color registration, by using more than two images. After estimating parameters, color registration is executed with consideration of light attenuation. The effectiveness of the proposed method is verified through experiments.