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Interactive Fusion for Multi-exposure Images
Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City, 2020Exposure fusion methods are effective for directly fusing multi-exposure images to one high-quality image. Most exposure fusion methods can generate a more natural and visually pleasing image than tone-mapping methods, but they do not preserve so much fine details as tone-mapping methods, especially in the brightest and darkest regions.
Chunmeng Wang, Mingyi Bao, Chen He
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Multi-Exposure Fusion with CNN Features
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Multi-exposure fusion (MEF) is a widely used approach to high dynamic range imaging. The selection of features for fusion weight calculation is important to the performance of MEF. In this paper, we investigate the effectiveness of convolutional neural network (CNN) features for MEF.
Hui Li 0029, Lei Zhang 0006
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Generalized Random Walks for Fusion of Multi-Exposure Images
IEEE Transactions on Image Processing, 2011A single captured image of a real-world scene is usually insufficient to reveal all the details due to under- or over-exposed regions. To solve this problem, images of the same scene can be first captured under different exposure settings and then combined into a single image using image fusion techniques.
Irène Cheng, Jianbo Shi, Anup Basu
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Multi-exposure Fusion With JPEG Compression Guidance
2018 IEEE Visual Communications and Image Processing (VCIP), 2018Construct a High Dynamic Range (HDR) image is the primary method to solve the information loss caused by insufficient dynamic range of cameras. We propose a technique for fusing a bracketed low dynamic range (LDR) image sequence of varying exposures into an HDR image, skipping the physically-based HDR assembly step.
Xingdi Zhang +3 more
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Multi-exposure images of wavelet transform fusion
SPIE Proceedings, 2013In many cases, the image acquisition devices have a limited dynamic range, which is lower than one encounter in the real world. The capture image from the camera can not reflect the high dynamic range. According to different exposure time of images in the same scene, it apply the Laplace sharpening the images and enhancing their details, and it use ...
Jianbo Xu, Youjun Huang, Jianli Wang
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Deep Multi-Exposure Image Fusion for Dynamic Scenes
IEEE Transactions on Image Processing, 2023Recently, learning-based multi-exposure fusion (MEF) methods have made significant improvements. However, these methods mainly focus on static scenes and are prone to generate ghosting artifacts when tackling a more common scenario, i.e., the input images include motion, due to the lack of a benchmark dataset and solution for dynamic scenes.
Xiao Tan 0004 +7 more
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Enhancing image visuality by multi-exposure fusion
Pattern Recognition Letters, 2019Abstract Image visuality enhancement aims at increasing visual quality of a given image to convey more useful information. The key for visuality enhancement is to comprehensively exploit the details of the image scene. However, one (or several) observed image only provides partial information of the scene.
Qingsen Yan +5 more
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Perceptual Quality Assessment for Multi-Exposure Image Fusion
IEEE Transactions on Image Processing, 2015Multi-exposure image fusion (MEF) is considered an effective quality enhancement technique widely adopted in consumer electronics, but little work has been dedicated to the perceptual quality assessment of multi-exposure fused images. In this paper, we first build an MEF database and carry out a subjective user study to evaluate the quality of images ...
Kede Ma, Kai Zeng, Zhou Wang
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Dense SIFT for ghost-free multi-exposure fusion
Journal of Visual Communication and Image Representation, 2015Two dense SIFT based quality measures for multi-exposure fusion are presented.A new ghost-free multi-exposure fusion method based on dense SIFT is proposed.Two weight distribution strategies for local contrast extraction are studied. Due to the limited capture range of common imaging sensors, a scene with high dynamic range usually cannot be well ...
Yu Liu, Zengfu Wang
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Fusion of multi-exposure images
Image and Vision Computing, 2005A method for fusing multi-exposure images of a static scene taken by a stationary camera into an image with maximum information content is introduced. The method partitions the image domain into uniform blocks and for each block selects the image that contains the most information within that block.
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