1. DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs [DeepFuse(ICCV 2017)] [Paper] [Code] 2. Multi-exposure fusion with CNN features [CNN(ICIP 2018)] [Paper] [Code] 3. Deep guided learning for fast multi-exposure image fusion [DeepFuse(MEF-Net(...
[10] H. Li, L. Zhang, Multi-exposure Fusion with CNN Features, in: 2018 25th IEEE International Conference on Image Processing, 2018, pp. 1723–1727. [11] N. Hayat, M. Imran, Ghost-free multi exposure image fusion technique using dense sift descriptor and guided filter, J. Vis. Comm...
AAAI 2020EEMEFN:Low-LightImageEnhancementviaEdge-EnhancedMulti-ExposureFusionNetwork...enhancement.在检测步骤中,首先从初始图像生成边缘映射,而不是从输入图像生成边缘映射。输入图像和多次曝光图像的噪声非常大,使得边缘提取非常困难。MEF模块有效地去除噪音,并生成清晰的法线光图像和精确的边缘 ...
Zhang, Y., et al.: IFCNN: a general image fusion framework based on convolutional neural network. Inf. Fus. 54, 99–118 (2020) Article Google Scholar Liu, J., Shang, J., Liu, R., Fan, X.: Halder: Hierarchical attention-guided learning with detail-refinement for multi-exposure imag...
In this paper, a novel multi-exposure image fusion method based on generative adversarial networks (termed as GANFuse) is presented. Conventional multi-exp
2023, Information Fusion Citation Excerpt : Tone Mapping Image Quality Index (TMQI) [73] We compare the proposed method with eleven state-of-the-art methods, including three traditional methods, i.e., MGFF [13], DSIFT [74], MEF-CNN [75], and nine deep learning methods, i.e., DeepFus...
Image fusion meets deep learning: A survey and perspective 2021, Information Fusion Show abstract Color-compensated multi-scale exposure fusion based on physical features 2020, Optik Citation Excerpt : Cai et al. [39] used CNN to train a deep single image contrast enhancer, which is verified to...
1, the proposed method consists of two modules: a multi-exposure generation net (MEG-Net) and a multi-exposure fusion net (MEF-Net). MEG-Net uses a neural network to imitate the high dynamic range image, which provides the fusion module with multiple en- hanced images and performs ...
Multi-Exposure Fusion with CNN Features. In Proceedings of the 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 7–10 October 2018; pp. 1723–1727. [Google Scholar] [CrossRef] Van Aardt, J. Assessment of image fusion procedures using entropy, image quality...
Multi-exposure fusion with CNN features. In Proceedings of the 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 7–10 October 2018; pp. 1723–1727. [Google Scholar] Lahoud, F.; Süsstrunk, S. Fast and efficient zero-learning image fusion. arXiv 2019, arXiv...