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The phenomenon of human eye inhibition is modeled in a solid-state sensor array system for the purpose of image edge enhancement. Three inhibition algorithms are simulated on a computer and evaluated using a uniform cross pattern as a test image. The algorithm giving the most enhancement is used in an on-line sensor array-minicomputer system. Comparison of the computer pictorial printouts using aerial positive transparencies as input images clearly shows that edges with inhibition are more pronounced than those without inhibition. Also more topographic features are recognizable in the outputs with inhibition.