Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (8): 2301-2306.doi: 10.13229/j.cnki.jdxbgxb.20230235
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1 | 刘卫东, 李吉玉, 张文博, 等. 基于Retinex和ADMM优化的水下光照不均匀图像增强算法[J].西北工业大学学报, 2021, 39(4): 824-830. |
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2 | 贾洪博, 石蕴玉, 刘翔, 等. 基于光照重映射的低照度图像增强算法[J]. 激光与光电子学进展, 2021, 58(22): 230-236. |
Jia Hong-bo, Shi Yun-yu, Liu Xiang, et al. Low-illuminance image enhancement algorithm based on light remapping[J]. Progress in Laser and Optoelectronics, 2021, 58(22): 230-236. | |
3 | 钱宇华, 卢佳佳, 王克琪, 等. 基于信息多重蒸馏的轻量化低照度图像增强方法[J]. 山西大学学报: 自然科学版, 2021, 44(5): 887-896. |
Qian Yu-hua, Lu Jia-jia, Wang Ke-qi, et al. Light and low illumination image enhancement method based on information multiple distillation[J]. Journal of Shanxi University (Natural Science Edition), 2021,44(5): 887-896. | |
4 | 耿磊, 史瑞资, 刘彦北, 等. 基于多重感受野UNet的仪表图像分割方法[J].计算机工程与设计, 2022, 43(3): 771-777. |
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5 | 黄子蒙, 徐望明, 但愿. 基于对称亮度映射和虚拟多曝光融合的非均匀光照图像增强[J]. 液晶与显示, 2022, 37(12): 1580-1589. |
Huang Zi-meng, Xu Wang-ming, Dan Yuan. Non-uniform illumination image enhancement based on symmetric brightness mapping and virtual multi-exposure fusion[J]. Liquid Crystal and Display, 2022, 37(12): 1580-1589. | |
6 | 蒲恬, 张子夜, 彭真明. 保持自然度的非均匀光照图像增强的Retinex算法[J]. 数据采集与处理, 2021, 36(1): 76-84. |
Pu Tian, Zhang Zi-ye, Peng Zhen-ming. Retinex algorithm for image enhancement under non-uniform illumination with naturalness[J]. Data Acquisition and Processing, 2021,36(1): 76-84. | |
7 | 张志文, 刘天歌, 聂鹏举. 基于实景数据增强和双路径融合网络的实时街景语义分割算法[J]. 电子学报, 2022, 50(7): 1609-1620. |
Zhang Zhi-wen, Liu Tian-ge, Nie Peng-ju. Real-time street scene semantic segmentation algorithm based on real-time data enhancement and dual-path fusion network[J]. Journal of Electronics, 2022, 50 (7): 1609-1620. | |
8 | 吴建斌, 牛玉贞, 张宇杰. 基于图像自身信息感知的无参考低光照图像增强[J]. 小型微型计算机系统, 2021, 42(6): 1243-1249. |
Wu Jian-bin, Niu Yu-zhen, Zhang Yu-jie. Unreferenced low-light image enhancement based on image information perception[J]. Miniature Microcomputer System, 2021, 42(6): 1243-1249. | |
9 | 王宇龙, 王然风, 曹文艳. 等 , 联合CLAHE和BM3D的浮选泡沫图像预处理方法[J]. 煤炭技术, 2022, 41(6):222-224. |
Wang Yu-long, Wang Ran-feng, Cao Wen-yan, et al. The flotation foam image pre-processing method combined with CLAHE and BM3D[J]. Coal Technology, 2022,41(6): 222-224. | |
10 | 翟艳, 潘振宽, 魏伟波. 基于法矢量雅可比的总广义变差图像修复模型[J]. 计算机仿真, 2022, 39(3):150-199. |
Zhai Yan, Pan Zhen-kuan, Wei Wei-bo. A total generalized variation model for image inpainting using the jacobian of normal[J]. Computer Simulation, 2022, 39(3):150-199. | |
11 | Wang J, Wang X, Zhang P, et al. Correction of uneven illumination in color microscopic image based on fully convolutional network[J]. Optics Express, 2021, 29(18):28503-28520. |
12 | Xu J J, Zhang H, Tang C S, et al. Automatic soil crack recognition under uneven illumination condition with the application of artificial intelligence[J]. Engineering Geology,2022(296): 106495. |
13 | Li B, Xie W, Zhang L W, et al. Adaptive fractional differential algorithm for image edge enhancement and texture preserve using fuzzy sets[J]. IET Image Processing,2023,17(7):2204-2213. |
14 | He L, Liu S X, Long W, et al. Low-light image enhancement via span correction function and discrete mapping model[J]. IET Image Processing,2023,17(6):1812-1836. |
15 | Liao T L, Peng C Y, Hou Y Y. Application of multi-party computation and error correction with image enhancement and convolution neural networks based on cloud computing[J]. IET Image Processing,2023,17(6):1931-1950. |
16 | Yang L, Yang B, Gu X. Adversarial reconstruction CNN for illumination-robust frontal face image recovery and recognition[J]. International Journal of Cognitive Informatics and Natural Intelligence, 2021, 15(2):18-33. |
17 | 肖明尧, 李雄飞, 朱芮. 基于NSST域像素相关分析的医学图像融合[J]. 吉林大学学报: 工学版, 2023, 53(9): 2640-2648. |
Xiao Ming-yao, Li Xiong-fei, Zhu rui. Medical image fusion based on pixel correlation analysis in NSST domain[J]. Journal of Jilin University (Engineering and Technology Edition), 2023, 53(9):2640-2648. | |
18 | 陈烽, 王浩. 基于多通道视觉注意力的模糊图像质量复原算法设计[J]. 吉林大学学报: 工学版, 2023, 53(9): 2626-2631. |
Chen Feng, Wang Hao. Design of fuzzy image quality restoration algorithm based on multi⁃channel visual attention[J].Journal of Jilin University (Engineering and Technology Edition), 2023, 53(9):2626-2631. | |
19 | He L, Long W, Liu S, et al. A night low‐illumination image enhancement model based on small probability area filtering and lossless mapping enhancement[J]. IET Image Processing, 2021, 15(13): 3221-3238. |
20 | Acharya U K, Kumar S. Image sub-division and quadruple clipped adaptive histogram equalization (ISQCAHE) for low exposure image enhancement[J]. Multidimensional Systems and Signal Processing,2023, 34(1): 25-45. |
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