Abstract: Subjected to the material quality and the device fabrication techniques, the IRFPAs usually suffer from bad pixels and stripe noise. The accuracy of the bad pixel detection is always influenced by the stripe noises, which should be optimized for more precise imaging processing. A preliminary clean image was accomplished without the influence of stripe noises by reconstructed double density double tree complex wavelet coefficients with different weights. After that, the image preprocessing was utilized to detect the bad pixels with 3 criterion. Finally, this method was testified by a image processing from short-wave IRFPA. The bad pixels detection in the infrared image is much more accurate in spite of the stripe noise.