Underwater video analysis is common in elite level swimming for stroke correction, technique analysis and as a visual aid to support coaches and athletes. Because of the challenges of the underwater visual environment and ambulatory camera work, video can be degraded and considered non ideal, additionally the athletes movement can lead to blurred vision and bubbles from cavitation effects. In this paper we use image analysis techniques to enhance images for improved clarity and automated detection of limb ...