The ocean is filled with life, yet much of it remains hidden unless observed at very close range. Water acts like a natural veil, bending and scattering light while also dimming it as it moves through the dense medium and reflects off countless suspended particles. Because of this, accurately capturing the true colors of underwater objects is extremely difficult without close-up imaging.

Researchers at MIT and the Woods Hole Oceanographic Institution (WHOI) have created an image-analysis system that removes many of the ocean’s optical distortions. The tool produces visuals of underwater scenes that appear as though the water has been removed, restoring their natural colors. To achieve this, the team combined the color-correction tool with a computational model that transforms images into a three-dimensional underwater “world” that can be explored virtually.

The team named the tool “SeaSplat,” drawing inspiration from both its underwater focus and the technique of 3D Gaussian splatting (3DGS). This method stitches multiple images together to form a complete 3D representation of a scene, which can then be examined in detail from any viewpoint.

“With SeaSplat, it can model explicitly what the water is doing, and as a result, it can in some ways remove the water, and produces better 3D models of an underwater scene,” says MIT graduate student Daniel Yang.