Optical Technique, Volume. 49, Issue 2, 238(2023)
Infrared image denoising based on dual density complex wavelet and coefficient correlation
[1] [1] Awad A. Denoising images corrupted with impulse, Gaussian, or a mixture of impulse and Gaussian noise[J]. Engineering Science and Technology,2019,22(3):746-753.
[2] [2] Shao C, Kaur P, Kumar R. An improved adaptive weighted mean filtering approach for metallographic image processing[J]. Journal of Intelligent Systems,2021,30(1):470-478.
[3] [3] Lv J, Luo X. Image denoising via fast and fuzzy non-local means algorithm[J]. Journal of Information Processing Systems,2019,15(5):1108-1118.
[4] [4] 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(2016):44-52.
[5] [5] 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.
[6] [6] 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(2017):352-358.
[9] [9] Fryzlewicz P, Sinica S. Bivariate hard thresholding in wavelet function estimation[J]. Statist Sinica,2007,17(4):1457-1481.
[10] [10] Zhang L, Xie X, Fong S, et al. Heuristic dual-tree wavelet thresholding for infrared thermal image denoising of underground visual surveillance system[J]. Optical Engineering,2018,57(8):1-13.
[11] [11] Yu B. An improved infrared image processing method based on adaptive threshold denoising[J/OL]. EURASIP Journal on Image & Video Processing,2019. https:∥doi.org/10.1186/s13640-018-0401-8.
[13] [13] Zhang Z, Zheng W, Ma Z, et al. Infrared star image denoising using regions with deep reinforcement learning[J]. Infrared Physics & Technology,2021,117(1):103819.
[14] [14] Zeng X, Xu J, Gao X. A potential method for the nonuniformity correction and noise removal of infrared thermal image[J]. Acta Physica Polonica A,2020,137(6):1055-1060.
[15] [15] Shen Y, Chen Y, Liu Q, et al. Improved Anscombe transformation and total variation for denoising of lowlight infrared images[J]. Infrared Physics and Technology,2018,93(2018):192-198.
[16] [16] Selesnick I. The double-density dual-tree DWJ[J]. IEEE Transactions on Signal Processing,2004,52(5):1304-1314.
[18] [18] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(6):1397-1409.
[19] [19] Chen J, Zhan Y, Cao H. Adaptive sequentially weighted median filter for image highly corrupted by impulse noise[J]. IEEE Access,2019,7(2019):158545-158556.
[20] [20] Zhang L, Zhang L, Mou X, et al. FSIM: A feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing,2011,20(8):2378-2386.
Get Citation
Copy Citation Text
OU Weihong, WAN Liyong. Infrared image denoising based on dual density complex wavelet and coefficient correlation[J]. Optical Technique, 2023, 49(2): 238
Category:
Received: Sep. 23, 2022
Accepted: --
Published Online: Apr. 16, 2023
The Author Email: Weihong OU (owh5997@163.com)
CSTR:32186.14.