The nonuniformity correction algorithm with the temporal high-pass filter for infrared focal plane array is a typical scene-based nonuniformity correction technique, but it has the ghosting artifacts problem. Based on the basic principle of temporal high-pass filter algorithm, the superposition of the whole image information will result in the elimination of stationary scene and the stay of a reversed image which can be referred to as the ghosting artifacts on the current position of the moving scene. A new scene-based nonuniformity correction technique based on the non-local means filter was proposed to eliminate the ghosting artifacts in the temporal high-pass filter algorithm. In this algorithm, the original input image was separated into two parts, which were the high spatial-frequency part and the low spatial-frequency part. And then the output of the low-pass filter was estimated recursively only by using the high spatial-frequency part of the image which contains most of the noise and nonuniformity. The performance of this presented algorithm was tested with two infrared image sequences, and the experimental results show that the algorithm can significantly reduce the ghosting artifacts in THF and achieve a better nonuniformity correction effect.