[3] [3] Buades A, Coll B, Morel J. A non-local algorithm for image denoising［C］∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition. California,USA:IEEE,2005:60-65.

[4] [4] Liu F, Sun M, Cai W. A novel denoising method for infrared image based on bilateral filtering and non-local means［J］. Optoelectronics Letters,2017,13(3):237-240.

[5] [5] Dabov K, Foi A, Katkovnik V, et al. Image denoising by sparse 3-D transform-domain collaborative filtering［J］. IEEE Transactions on Image Processing,2007,16(8):2080-2095.

[7] [7] He K, Sun J, Tang X. Guided image filtering［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(6):1397-1409.

[8] [8] Kang K, Liu T, Xu X, et al. Study of infrared image denoising algorithm based on steering kernel regression image guided filter［C］∥2019 18th IEEE International Conference on Optical Communications and Networks.Shilonggang,Singapore:TEEE,2019:12-19.

[10] [10] Fan Z, Bi D, He L, et al. Noise suppression and details enhancement for infrared image via novel prior［J］. Infrared Physics & Technology,2016,74():44-52.

[11] [11] Liu N, Yang C, Cao H. Noise suppression of the reconstruction of infrared digital holography based on pyramid-based bilateral filter［J］. Infrared Physics & Technology,2017,85:352-358.

[12] [12] Yu B. An improved infrared image processing method based on adaptive threshold denoising［J］. EURASIP Journal on Image & Video Processing,2019,2019(1):12-21.

[13] [13] Selesnick I, Baraniuk R, Kingsbury N. The dual-tree complex wavelet transform［J］. IEEE Transactions on Signal Processing Magazine,2005,22(6):123-151.

[14] [14] Liu Y, Wang Z, Si L, et al. A non-reference image denoising method for infrared thermal image based on enhanced dual-tree complex wavelet optimized by fruit fly algorithm and bilateral filter［J］. Applied Sciences,2017,7(11):1190.