Considering the human visual characteristics, a target-characteristics-based equivalent blur model for under-sampled imaging systems is proposed. The introduction into the model of the tolerance of the under-sampling system to the spurious response and the effective frequency spectrum makes the newly proposed model more accurate in the prediction of the target discrimination performance of an under-sampled imaging system.