Abstract: Short-wave infrared camera cores have adjustable operating characteristics. The working state of the camera core defined in this study consists of three core control parameters: integration time, movement temperature, and readout integrated circuit gain mode. Different component working states produce distinct imaging nonuniformity characteristics of short-wave infrared focal plane arrays, which increase the difficulty of imaging nonuniformity correction. Therefore, based on the simplified engineering two-point correction algorithm, this study explores the evolution law of imaging nonuniformity under various component working states to optimize the nonuniformity correction algorithm and improve the infrared image quality. The experimental results demonstrate that the change in working states induced by the integration time, movement temperature, and gain mode significantly affected the imaging nonuniformity of short-wave infrared images. Although the conventional two-point correction algorithm can effectively eliminate imaging nonuniformity under a fixed working state, its correction efficiency decays with the change in working states, and multicondition adaptability requires further optimization. This study clarifies the evolution mechanism of imaging nonuniformity varying with component working states, which provides theoretical support and a practical engineering reference for the optimization of nonuniformity correction algorithms of short-wave infrared imaging systems.