Equivariant multi-modality image fusion

Z Zhao, H Bai, J Zhang, Y Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multi-modality image fusion is a technique that combines information from different sensors
or modalities enabling the fused image to retain complementary features from each modality …

LightingFormer: Transformer-CNN hybrid network for low-light image enhancement

C Bi, W Qian, J Cao, X Wang - Computers & Graphics, 2024 - Elsevier
Recent deep-learning methods have shown promising results in low-light image
enhancement. However, current methods often suffer from noise and artifacts, and most are …

Unsupervised learning of high-resolution light field imaging via beam splitter-based hybrid lenses

J Lei, C Xu, L Shi, J Hou, P Zhou - arxiv preprint arxiv:2402.19020, 2024 - arxiv.org
In this paper, we design a beam splitter-based hybrid light field imaging prototype to record
4D light field image and high-resolution 2D image simultaneously, and make a hybrid light …

Display visibility improvement through content and ambient light-adaptive image enhancement

J Lee, H Lee, S Lee, J Heo, J Lee, BC Song - IEEE Access, 2023 - ieeexplore.ieee.org
An image in a display device under strong illuminance can be perceived as darker than the
original due to the nature of the human visual system (HVS). In order to alleviate this …

[PDF][PDF] 基于深度学**的光场图像重建与增**综述 (特邀)

肖泽宇, 熊志伟, 王立志, 黄华 - Laser & Optoelectronics …, 2024 - researching.cn
摘要光场能够完整捕捉三维空间中的光线信息, 记录光线在不同位置和方向上的**度,
这一特性使其能够精准地感知复杂动态环境, 在生命科学, 工业检测和虚拟现实等领域中有巨大 …

An Effective Checkerboard Calibration Technique for a Stereo Camera System

V Satushe, V Vyas, P Gujar, V Kadam… - 2023 IEEE Pune …, 2023 - ieeexplore.ieee.org
One of the most important abilities of the human vision system is the capacity to perceive the
environment in three dimensions. Due to the spatial separation between the two eyes in the …

Use of CNNs for Estimating Depth from Stereo Images

V Satushe, V Vyas - International Conference on Smart Computing and …, 2024 - Springer
In order to build disparity maps from stereo images, this research investigates the
advantages of employing CNN (convolutional neural networks) to generate a disparity …