An Infrared Image Denoising Method Based on Double-Tree Complex Wavelet and Morphology

NIU Ben; MU Xiaodong; CHEN Changqian

doi:10.3969/j.issn.1671-637x.2019.02.010

[2] MALLAT S G.A wavelet tour of signal processing［M］.San Diego:Academic Press1998.

[3] SENDUR L, SELESNICK I W.Bivariate shrinkage with local variance estimation［J］. IEEE Signal Processing Letters, 2002, 9(12): 438-441.

[6] KINGSBURY N G.The dual-tree complex wavelet transform:a new technique for shift invariance and directional filter［J］.IEEE Digital Signal Processing Workshop, 1998, 98(1):2-5.

[7] SAMMOUDA R, AL-SALMAN A M, GUMAEI A, et al. An efficient image denoising method for wireless multimedia sensor networks based on DT-CWT［J］. International Journal of Distributed Sensor Networks, 2015. doi:10.1155/2015/632568.

[8] SELESNICK I WBARANIUK R GKINGSBURY N C.The dual-tree complex wavelet transform［J］.IEEE Signal Processing Magazine200522(6):123-151.

[11] KOEHOORN J, SOBIECKI A, BODA D, et al. Automated digital hair removal by threshold decomposition and morphological analysis［C］//The 12th International Symposi-um on Mathematical Morphology and its Applications to Signal and Image Processing, 2015: 15-26.