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J. Imaging 2019, 5(3), 32;

Multiple-Exposure Image Fusion for HDR Image Synthesis Using Learned Analysis Transformations

Electrical and Computer Engineering Department, Democritus University of Thrace, 67100 Xanthi, Greece
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
This paper is an extended version of our paper publisherd in Merianos, I.; Mitianoudis, N. A Hybrid Multiple Exposure Image Fusion Approach for HDR Image Synthesis. In Proceedings of the 2016 IEEE International Conference on Imaging Systems and Techniques (IST), Chania, Greece, 4–6 October 2016.
Received: 13 December 2018 / Revised: 20 January 2019 / Accepted: 20 February 2019 / Published: 26 February 2019
(This article belongs to the Special Issue Modern Advances in Image Fusion)
Full-Text   |   PDF [24652 KB, uploaded 26 February 2019]   |  


Modern imaging applications have increased the demand for High-Definition Range (HDR) imaging. Nonetheless, HDR imaging is not easily available with low-cost imaging sensors, since their dynamic range is rather limited. A viable solution to HDR imaging via low-cost imaging sensors is the synthesis of multiple-exposure images. A low-cost sensor can capture the observed scene at multiple-exposure settings and an image-fusion algorithm can combine all these images to form an increased dynamic range image. In this work, two image-fusion methods are combined to tackle multiple-exposure fusion. The luminance channel is fused using the Mitianoudis and Stathaki (2008) method, while the color channels are combined using the method proposed by Mertens et al. (2007). The proposed fusion algorithm performs well without halo artifacts that exist in other state-of-the-art methods. This paper is an extension version of a conference, with more analysis on the derived method and more experimental results that confirm the validity of the method. View Full-Text
Keywords: image fusion; exposure fusion; independent component analysis (ICA) image fusion; exposure fusion; independent component analysis (ICA)

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Merianos, I.; Mitianoudis, N. Multiple-Exposure Image Fusion for HDR Image Synthesis Using Learned Analysis Transformations. J. Imaging 2019, 5, 32.

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