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Since its introduction a decade ago, convex set theoretic image recovery has been applied to a steadily increasing number of problems and has established itself as a powerful, flexible, and reliable estimation tool. The purpose of this paper is to give a historical overview of the field, survey its most significant developments, analyze its current limitations, and propose new directions for theoretical and applied research.