深层跳线残差网络热红外图像超分辨重建
[1] 马悦.基于条件生成对抗网络的医学手术图像去烟算法[J].计算机与现代化,2021(1):50-55.
[2] MARCUS M.Super-resolution of PROBA-V images using convolutional neural networks[J].Astrodynamics, 2019, 3(4):387-402.
[3] LUO Z Y, YU J P, LIU Z H.The super-resolution reconstruction of SAR image based on the improved FSRCNN[J].The Journal of Engineering, 2019, 2019(19):5975-5978.
[4] 苏衡,周杰,张志浩.超分辨率图像重建方法综述[J].自动化学报,2013,39(8):1202-1213.
[5] KEYS R G.Cubic convolution interpolation for digital image processing[J].IEEE Transactions on Acoustics Speech and Signal Processing, 1982, 29(6):1153-1160.
[6] 袁琪,荆树旭.改进的序列图像超分辨率重建方法[J].计算机应用,2009,29(12):3310-3313.
[7] DONG C.Image super-resolution using deep convolutional networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(2):295-307.
[8] KIM J W, LEE J K, LEE K M.Accurate image super-resolution using very deep convolutional networks[C]//IEEE Conference on Computer Vision & Pattern Recognition(CVPR).Las Vegas:IEEE, 2016: 1646-1654.
[9] DONG C, LOY C C, TANG X O.Accelerating the super-resolution convolutional neural network[C]//European Conference on Computer Vision.Cham:Springer, 2016:391-407.
[10] 赵小强,宋昭漾.多级跳线连接的深度残差网络超分辨率重建[J].电子与信息学报,2019,41(10):2501-2508.
[11] HE K M, ZHANG X Y, REN S Q, et al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision & Pattern Recognition (CVPR).Las Vegas:IEEE, 2016:770-778.
[12] 曲海成,唐博文,袁贵森.改进的超分辨率图像重建算法[J].激光与光电子学进展,2021,58(2):191-200.
[13] CHEN L, ZHANG H W, XIAO J, et al.SCA-CNN: spatial and channel-wise attention in convolutional networks for image captioning[C]//IEEE Conference on Computer Vision & Pattern Recognition(CVPR).Honolulu:IEEE, 2017:6298-6306.
[14] ZHAO W D, LI S S, LI A, et al.Hyperspectral images classification with convolutional neural network and textural feature using limited training samples[J].Remote Sensing Letters, 2019, 10(5):449-458.
[15] 赵小强,宋昭漾.Adam优化的CNN超分辨率重建[J].计算机科学与探索,2019,13(5):858-865.
[16] GAO S K, GRUEV V.Bilinear and bicubic interpolation methods for division of focal plane polarimeters[J].Optics Express, 2011, 19(27):161-173.
[17] 王昊榕.基于残差网络的图像超分辨率重建方法研究[D].太原: 山西财经大学,2021.
[18] YUAN F, HUANG L F, YAO Y.An improved PSNR algorithm for objective video quality evaluation[C]//Proceedings of the 26th Chinese Control Conference.Beijing: Beihang University Press, 2007:376-380.
[19] ZHOU W, BOVIK A C, SHEIKH H R, et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing:A Publication of the IEEE Signal Processing Society, 2004, 13(4):600-612.
邓伟, 陈建飞, 张胜. 深层跳线残差网络热红外图像超分辨重建[J]. 电光与控制, 2023, 30(3): 27. DENG Wei, CHEN Jianfei, ZHANG Sheng. Super-Resolution Reconstruction of Thermal Infrared Image in Deep Residual Network With Skip Connections[J]. Electronics Optics & Control, 2023, 30(3): 27.