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Exposure Fusion Based on Support Vector Regression

Proceedings of International Conference on Internet Multimedia Computing and Service, 2014
We know that fusion rule in spatial domain-based multiple exposure fusion methods, the sum weighted average is usually used in which same weight value is assigned for each source image, regardless of the details contained in it. Furthermore, using only single feature to design the fusion rule is also commonly adopted.
Jinhua Wang 0004, Hong Bao, Ning He
openaire   +1 more source

Detail Preserving Multi-Scale Exposure Fusion

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Edge-preserving smoothing based multi-scale exposure fusion is a state-of-the-art method to fuse differently exposed images of a high dynamic range (HDR) scene. However, its complexity could be an issue. In this paper, a novel multiscale exposure fusion algorithm is proposed by adopting an approximation method at the highest layer of the pyramid ...
Qiantong Wang   +3 more
openaire   +1 more source

High quality exposure fusion for mobile platforms

IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017
In this paper, a new approach for high quality automated exposure fusion on mobile or handheld devices is presented. A utilization of the device's viewfinder screen video feed data is proposed, in order to increase the overall performance of the exposure fusion, both in static scenes and in scenes with moving objects.
Tomislav Kartalov, Zoran A. Ivanovski
openaire   +1 more source

Reference-guided exposure fusion in dynamic scenes

Journal of Visual Communication and Image Representation, 2012
Unlike high dynamic range (HDR) imaging, exposure fusion is a process of generating a tonemapped-like HDR image directly by fusing a series of bracketed images. Since it frees users from the tedious radiometric calibration and tone mapping steps, this technique is getting more and more popular, and becomes a basic tool in many graphics software.
Wei Zhang 0021, Wai-Kuen Cham
openaire   +1 more source

Perceptual Quality Evaluation for Exposure Fusion Image

IEEE EUROCON 2019 -18th International Conference on Smart Technologies, 2019
In this paper, a new approach for automated perceptual quality evaluation for pyramid-based exposure fusion is presented. A machine learning method, using neural network training is used. The obtained results are verified using both established objective measures, and subjective evaluation of the same set, acquired by mean opinion score survey on ...
Borivoje e Tasikj   +2 more
openaire   +1 more source

Exposure Fusion

15th Pacific Conference on Computer Graphics and Applications (PG'07), 2007
Tom Mertens, Jan Kautz, Frank Van Reeth
openaire   +1 more source

Quaternion Factorized Simulated Exposure Fusion

Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing, 2022
Saurabh Saini, P. J. Narayanan
openaire   +1 more source

Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion.

CoRR, 2022
Jin Liang   +4 more
openaire   +1 more source

Two-Exposure Image Fusion Based on Cross Attention Fusion

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Sha-Wo Huang   +3 more
openaire   +1 more source

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