[1] Caroline G B, Martiello M S, Humberto C R, et al. Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization$$J$$. Infrared Phys. Technol., 2019, 96: 303-310.

[3] Zhang H, Qian W, Wan M, et al. Infrared image enhancement algorithm using local entropy mapping histogram adaptive segmentation$$J$$. Infrared Phys. Technol., 2022, 120: 1-19.

[4] Yang M X, Tang G J, Liu X H, et al. Low-light image enhancement based on Retinex theory and dual-tree complex wavelet transform$$J$$. Optoelectronics Lett., 2018, 14: 470-475.

[5] Zhan B C, Wu Y Q. Infrared image enhancement based on wavelet transformation and retinex$$C$$// 2010 Second Inter. Conf. on Intelligent Human-Machine Systems and Cybernetics, 2010: 313-316.

[7] Zuo C, Chen Q, Liu N, et al. Display and detail enhancement for high-dynamic-range infrared images$$J$$. Optical Engineering, 2011, 50(12): 127401.

[9] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets$$J$$. MIT Press, 2006(7): 1527-1554.

[10] Lin L, Wang R, Wang W, et al. A low-light image enhancement method for both denoising and contrast enlarging$$C$$// IEEE Inter. Conf. on Image Processing, 2015: 3730-3734.

[11] Dong C, Loy C C, He K, et al. Image super-resolution using deep convolutional networks$$J$$. IEEE Trans. Pattern Anal. Mach. Intell., 2016, 38(2): 295-307.

[12] Goodfellow I, Pouget-Abadie J, Mehdi M, et al. Generative adversarial networks$$J$$. Communications of the ACM, 2020, 63(11): 139-144.

[14] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional networks for biomedical image segmentation$$C$$// Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015, 2015: 234-241.

[15] Sabour S, Frosst N, Hinton G E. Dynamic routing between capsules$$C$$// Proc. of the 31st Inter. Conf. on Neural Information Processing Systems, 2017: 4675-4684.

[16] Gao S H, Cheng M M, Zhao K, et al. Res2Net: A new multi-scale backbone architecture$$J$$. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2019, 43(2): 652-662.

[17] Cao Y, Xu J, Lin S, et al. GCNet: Non-local networks meet squeeze-excitation networks and beyond$$C$$// Inter. Conf. on Computer Vision Workshop (ICCVW), 2019: 1971-1980.

[19] Wang H, Zhou L, Wang L. Miss Detection vs. False Alarm: Adversarial learning for small object segmentation in infrared images$$C$$// Inter. Conf. on Computer Vision, 2019: 8508-8517.

[21] Jobson D J, Rahman Z, Woodell G A. A multiscale Retinex for bridging the gap between color images and the human observation of scenes$$J$$. IEEE Trans. on Image Processing, 2002, 6(7): 965-976.

[22] Wang X T, Yu K, Wu S X, et al. ESRGAN: Enhanced super-resolution generative adversarial networks$$C$$// Computer Vision-ECCV 2018 Workshops, 2018: 63-79.