Shade, low light, glare, headlights, haze, fog, heavy rain and murky waters dramatically reduce video clarity. These factors affect the performance of navigation software for autonomous, self-driving cars, or even remotely operated vehicles, including airborne and underwater drones. Lolaark Vision Inc has developed unique prototype software to improve radically the visibility of live video stream when the visibility is poor due to such conditions. In particular, we employ sophisticated mathematical algorithms to recover significant shape characteristics of objects, enhance structural details and suppress clutter. The main advantages of our software are, the ability to selectively enhance the contrast of shapes delineating objects and of structural details on the surface of objects both close up and further away from the camera and the expansion of the visibility radius around the camera. Image details obscured to the naked eye or to a camera due to combinations of the invisibility conditions we previously listed become visible making objects and their surroundings easily identifiable by a human operator or a robot because the appearance of objects is restored as if the visibility was adequate. The Lolaark Vision prototype software is an easily adaptable platform for video stream post-processing for any type and resolution of digital cameras, including near-infra-red and HD thermal cameras. Lolaark Vision Inc. clients are other businesses. Future revenue streams will come from adaptations of the Lolaark Vision software as plugin modules for autonomous and remotely operated vehicle navigation, surveillance cameras, robots, including surgical robots. Another, revenue stream will be generated from the sales of a future standalone video enhancement software for underwater marine asset inspections or inland water assets, such as dams, bridge footings, and docks.