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This thesis deals with the implementation and analysis of an image processing algorithm in order to determine the feasibility of its operation in a real time environment at standard video frame rates. A modification of the Peli and Lim algorithm has been put to work in processing images taken from a submerged camera operating in turbid water environments with uneven light distribution. The algorithm's performance was observed in detail to determine if it met the required specifications. Through analysis, the algorithm's intense computational requirements and large memory storage demands were resolved. It was determined that for the algorithms to operate in real time, a system with characteristics of a supercomputer would most likely be needed. The algorithm was transported to an IBM AT equipped for image processing. Possible optimization techniques were discussed briefly, and other solutions for processing images with this type of equipment were suggested.