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Multi-Exposure Image Fusion through Structural Patch Decomposition with Gaussian Filter
2018
International Journal of Advanced Research in Computer Science and Software Engineering
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ghosting artifacts for dynamic scenes. ...
It propose a simple yet effective Structural Patch Decomposition with Gaussian Filter (SPDGF) approach for multi-exposure image fusion (MEF) that is robust to ghosting effect. ...
However, until now few works have been conducted on the performance evaluation of multi-exposure image fusion, especially colourful multi-exposure image fusion. ...
doi:10.23956/ijarcsse.v8i3.595
fatcat:fcqpffgyqvew7mlphwty6evohq
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
[article]
2021
arXiv
pre-print
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Merging-ISP enables direct reconstructions of HDR images of dynamic scenes from multiple raw CFA images with different exposures. ...
High dynamic range (HDR) imaging combines multiple images with different exposure times into a single high-quality image. ...
Conclusion We proposed an effective deep neural network architecture named Merging-ISP for multi-exposure HDR imaging of dynamic scenes. ...
arXiv:1911.04762v2
fatcat:6uptlalqrzfojhw4nznwychdcu
Perceptual Optimization of a Biologically-Inspired Tone Mapping Operator
[article]
2022
arXiv
pre-print
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We then train another lightweight DNN to fuse the LDR image stack into a desired LDR image by maximizing a variant of MEF-SSIM, another perceptually calibrated metric for image fusion. ...
With the increasing popularity and accessibility of high dynamic range (HDR) photography, tone mapping operators (TMOs) for dynamic range compression and medium presentation are practically demanding. ...
ACKNOWLEDGMENT The authors would like to dedicate this humble piece of work to Prof. Ted Adelson for his 70th birthday 5 . ...
arXiv:2206.09146v1
fatcat:tg2frtsb5fdrpc4owot7apxnd4
Perceptual Quality Assessment for Multi-Exposure Image Fusion
2015
IEEE Transactions on Image Processing
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of multi-exposure fused images. ...
Multi-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 ...
Liu for providing the codes of [29] , Dr. B. Gu and Dr. Z. Li for generating fused images of their algorithms. ...
doi:10.1109/tip.2015.2442920
pmid:26068317
fatcat:fj3bcrdahnakpgg2gzey2cbpyi
Adaptive exposure fusion for high dynamic range imaging
2015
2015 IEEE International Conference on Image Processing (ICIP)
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This paper proposes a novel exposure fusion algorithm that directly fuses exposure bracketed shots into a displayable image. ...
The proposed method yields a perceptually detailed image when compared against other methods of similar nature. ...
Reducing the dynamic range for displaying the image is termed tone mapping and its goal is to retain perceptually relevant information while discarding the rest. ...
doi:10.1109/icip.2015.7351694
dblp:conf/icip/PatelAK15
fatcat:we45ymeys5f5pfwqp67bm3qzqm
Exposure Fusion Algorithm Based on Perceptual Contrast and Dynamic Adjustment of Well-Exposedness
[chapter]
2014
Lecture Notes in Computer Science
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Results based on objective evaluation show that the proposed algorithm clearly outperforms the original exposure fusion technique and most of the state-of-the-art tone mapping operators for static images ...
The luminance of natural scenes frequently presents a high dynamic range and cannot be adequately captured with traditional imaging devices. ...
Their algorithm computes an image quality metric for each pixel in the multi-exposure sequence, which encodes perceptually desirable qualities, i.e. contrast, saturation and well-exposedness. ...
doi:10.1007/978-3-319-07998-1_21
fatcat:rqeh7e366nfwnkhzjmalj6ra3m
Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
[article]
2021
arXiv
pre-print
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High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision. ...
Moreover, we review some crucial aspects of deep HDR imaging, such as datasets and evaluation metrics. Finally, we highlight some open problems and point out future research directions. ...
ACKNOWLEDGMENTS This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-2018R1A2B3008640). ...
arXiv:2110.10394v3
fatcat:pvsktnd5wrgo5lstughzlhon7i
Perceptual evaluation of multi-exposure image fusion algorithms
2014
2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX)
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We then carry out a subjective user study using a multi-stimulus scoring approach to evaluate and compare the quality of the fused images. ...
Multi-exposure image fusion is considered an effective and efficient quality enhancement technique widely adopted in consumer electronics products. ...
Toet and Franken [24] examined the perceptual quality of multi-scale image fusion schemes, where only night-time outdoor scenes and very simple fusion methods were included in the study. ...
doi:10.1109/qomex.2014.6982278
dblp:conf/qomex/ZengMHW14
fatcat:mjo46lc425cori3gnib2cnq5w4
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring
2019
Asian Conference on Machine Learning
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In this paper, we propose an end-to-end multi-width activation and multiple receptive field networks for the large-scale and complicated dynamic scene deblurring. ...
And then, we design the multi-scale feature fusion module, where a learning fusion structure is designed to adaptively fuse the multi-scale features and complicated blur information from the different ...
Introduction Dynamic scene blur caused by the camera shake, object motions, different scene depths and occlusion in motion boundaries during the exposure time, and it is one of the most common image degradation ...
dblp:conf/acml/CuiLGG19
fatcat:2cpfkwjd7vfobminkvzl5cryoi
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
[article]
2021
arXiv
pre-print
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2022 accepted doi:10.1109/tcsvt.2022.3190057 arXiv:2102.01850v2 fatcat:3u7bgx2cu5efnheto5xafmuazq
The paper proposes a method to effectively fuse multi-exposure inputs and generates high-quality high dynamic range (HDR) images with unpaired datasets. ...
The proposed method preserves the details of important regions and improves the total image perceptual quality. ...
However, due to the lack of an explicit detection for the dynamic objects, the aforementioned methods are unaware of any motion in the scene, so as to be suitable for static scenes only. b) Dynamic scene ...
arXiv:2102.01850v1
fatcat:4mtioh22ezguxklshoq3z5eanq
Multi-Exposure Image Fusion Techniques: A Comprehensive Review
2022
Remote Sensing
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Then, based on the multi-exposure image sequences in static and dynamic scenes, we present a comparative study for 18 representative MEF approaches using nine commonly used objective fusion metrics. ...
Multi-exposure image fusion (MEF) is emerging as a research hotspot in the fields of image processing and computer vision, which can integrate images with multiple exposure levels into a full exposure ...
Acknowledgments: The authors wish to thank the associate editor and reviewers for their valuable suggestions.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs14030771
fatcat:bqzxhuh4drclbgbbbva4oso7g4
Multi-exposure image fusion: A patch-wise approach
2015
2015 IEEE International Conference on Image Processing (ICIP)
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We propose a patch-wise approach for multi-exposure image fusion (MEF). ...
Extensive experiments demonstrate the superiority of the proposed algorithm both qualitatively and quantitatively. ...
Multi-exposure image fusion (MEF) alleviates the problem by taking multiple images of the same scene under different exposure levels and synthesizing a low dynamic range (LDR) image from them. ...
doi:10.1109/icip.2015.7351094
dblp:conf/icip/MaW15
fatcat:mlniyclywvd6vlof53oria5544
An Image Quality Assessment of Multi-Exposure Image Fusion by Improving SSIM
2018
International Journal of Trend in Scientific Research and Development
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Multi-exposure image fusion (MEF) is viewed as a viable quality upgrade system generally received in purchaser hardware, A solitary caught picture of a genuine scene is normally lacking to uncover every ...
In this paper a multi picture fusion(MEF) calculation by streamlining a target quality measure in particular the MEF auxiliary similitude list (MEF-SSIM). ...
Multi exposure image fusion (MEF) is a cost effective technique that bridges the gap between the high dynamic range (HDR) of luminance levels in natural scenes and the low dynamic range (LDR) of standard ...
doi:10.31142/ijtsrd15634
fatcat:3cbdjpkc7vcizdamhkerbg2jre
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2103.14943v1 fatcat:zdqjvspjcngexddqlo7txkb4au
sequences of static scenes and 184 testing pairs of dynamic scenes. ...
Considering the fact that there is no publicly available dataset for quantitative and comprehensive evaluation of HDR video reconstruction methods, we collect such a benchmark dataset, which contains 97 ...
The ground-truth HDR frames for static scenes were generated by merging multi-exposure images [9] . ...
arXiv:2103.14943v2
fatcat:gwmm6rdpu5bdzeob3krfaijefq
Scene Segmentation-Based Luminance Adjustment for Multi-Exposure Image Fusion
2019
IEEE Transactions on Image Processing
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2019 pre-print arXiv:1903.07428v1 fatcat:66ja2i24sbhuzgwrhsn2npetwy
Multi-exposure image fusion is a method for producing images that are expected to be more informative and perceptually appealing than any of the input ones, by directly fusing photos taken with different ...
We propose a novel method for adjusting luminance for multi-exposure image fusion. For the adjustment, two novel scene segmentation approaches based on luminance distribution are also proposed. ...
and input multi-exposure images clearly cover the dynamic range of a scene. ...
doi:10.1109/tip.2019.2906501
fatcat:lq7lwuz4enckzjxagbabslg4ai
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