1 |
刘佳敏,何宁,尹晓杰. 基于Retinex-UNet算法的低照度图像增强[J]. 计算机工程与应用, 2020, 56(22): 211-216. 10.3778/j.issn.1002-8331.1910-0239
|
|
LIU J M, HE N, YIN X J. Low illumination image enhancement based on RetiNex-UNet algorithm[J]. Computer Engineering and Applications, 2020, 56(22): 211-216. 10.3778/j.issn.1002-8331.1910-0239
|
2 |
LAND E H, McCANN J J. Lightness and retinex theory[J]. Journal of the Optical Society of America, 1971, 61 (1): 1-11. 10.1364/josa.61.000001
|
3 |
JOBSON D J, RAHMAN Z, WOODELL G A. Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing, 1997, 6(3): 451-462. 10.1109/83.557356
|
4 |
RAHMAN Z, OBSON D J, WOODELL G A. Multiscale retinex for color rendition and dynamic range compression[C]// Proceedings of the SPIE 2847, Applications of Digital Image Processing XIX. Bellingham, WA: SPIE, 1996: No.258224. 10.1117/12.258224
|
5 |
陈灿灿. 基于Retinex理论的低照度彩色图像增强算法研究[D]. 沈阳:沈阳航空航天大学, 2018: 6-45.
|
|
CHEN C C. Low illumination color image enhancement algorithm research based on retinex theory[D]. Shenyang: Shenyang Aerospace University, 2018:6-45.
|
6 |
卢玮,高涛,王翠翠,等. Retinex理论下基于融合思想的低照度彩色图像增强算法[J]. 科学技术与工程, 2019, 19(13): 151-157. 10.3969/j.issn.1671-1815.2019.13.024
|
|
LU W, GAO T, WANG C C, et al. Low illumination color image enhancement algorithm based on fusion idea under Retinex theory[J]. Science Technology and Engineering, 2019, 19 (13): 151-157. 10.3969/j.issn.1671-1815.2019.13.024
|
7 |
ABDULLAH-ALWADUD M, KABIR M H, AKBER DEWAN M A, et al. A dynamic histogram equalization for image contrast enhancement[J]. IEEE Transactions on Consumer Electronics, 2007, 53(2): 593-600. 10.1109/tce.2007.381734
|
8 |
IBRAHIM H, KONG N S P. Brightness preserving dynamic histogram equalization for image contrast enhancement[J]. IEEE Transactions on Consumer Electronics, 2007, 53(4): 1752-1758. 10.1109/tce.2007.4429280
|
9 |
LORE K G, AKINTAYO A, SARKAR S. LLNet: a deep autoencoder approach to natural low-light image enhancement[J]. Pattern Recognition, 2017, 61: 650-662. 10.1016/j.patcog.2016.06.008
|
10 |
TAO L, ZHU C, XIANG G Q, et al. LLCNN: a convolutional neural network for low-light image enhancement[C]// Proceedings of the 2017 IEEE Visual Communications and Image Processing. Piscataway: IEEE, 2017: 1-4. 10.1109/vcip.2017.8305143
|
11 |
WEI C, WANG W J, YANG W H, et al. Deep Retinex decomposition for low-light enhancement[C]// Proceedings of the 2018 British Machine Vision Conference. Durham: BMVA Press, 2018: No.155. 10.48550/arXiv.1808.04560
|
12 |
WANG W J, WEI C, YANG W H, et al. GLADNet: low-light enhancement network with global awareness[C]// Proceedings of the 13th IEEE International Conference on Automatic Face and Gesture Recognition. Piscataway: IEEE, 2018:751-755. 10.1109/fg.2018.00118
|
13 |
JIANG Y F, GONG X Y, LIU D, et al. EnlightenGAN: deep light enhancement without paired supervision[J]. IEEE Transactions on Image Processing, 2021, 30: 2340-2349. 10.1109/tip.2021.3051462
|
14 |
LIM S, KIM W. DSLR: deep stacked Laplacian restorer for low-light image enhancement[J]. IEEE Transactions on Multimedia, 2021, 23: 4272-4284. 10.1109/tmm.2020.3039361
|
15 |
ZAMIR S W, ARORA A, KHAN S, et al. Multi-stage progressive image restoration[C]// Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2021: 14816-14826. 10.1109/cvpr46437.2021.01458
|
16 |
RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmentation[C]// Proceedings of the 2015 International Conference on Medical Image Computing and Computer-Assisted Intervention, LNCS 9351. Cham: Springer, 2015: 234-241.
|
17 |
HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design[C]// Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2021: 13708-13717. 10.1109/cvpr46437.2021.01350
|
18 |
JIE H, LI S, ALBANIE S, et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(8): 2011-2023. 10.1109/tpami.2019.2913372
|
19 |
WOO S A, PARK J B, LEE J C. CBAM: convolutional block attention module[C]// Proceedings of the 2018 European Conference on Computer Vision, LNCS 11211. Cham: Springer, 2018: 3-19.
|
20 |
DIEDERIK K, JIMMY B. Adam: a method for stochastic optimization[EB/OL]. (2017-01-30) [2021-12-03]..
|
21 |
WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. 10.1109/tip.2003.819861
|
22 |
CHENG H D, SHI X J. A simple and effective histogram equalization approach to image enhancement[J]. Digital Signal Processing, 2004, 14(2):158-170. 10.1016/j.dsp.2003.07.002
|
23 |
CAI J R, GU S H, ZHANG L. Learning a deep single image contrast enhancer from multi-exposure images[J]. IEEE Transactions on Image Processing, 2018, 27(4): 2049-2062. 10.1109/tip.2018.2794218
|