Ghost-free multi exposure image fusion technique using dense

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Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter.

https://www.sciencedirect.com/science/article/pii/S1047320319301750

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Aggiornato 24 lug 2019

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The file contains the MATLAB code of our paper Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter.

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Hayat, Naila, and Muhammad Imran. “Ghost-Free Multi Exposure Image Fusion Technique Using Dense SIFT Descriptor and Guided Filter.” Journal of Visual Communication and Image Representation, vol. 62, Elsevier BV, July 2019, pp. 295–308, doi:10.1016/j.jvcir.2019.06.002.

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Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > SIFT - Scale Invariant Feature Transform >

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Ispirato: Weighted Least Squares Based Detail Enhanced Exposure Fusion

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Versione	Pubblicato	Note della release
1.0.1	24 lug 2019	Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter.
1.0.0	24 lug 2019

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MLA	Hayat, Naila, and Muhammad Imran. “Ghost-Free Multi Exposure Image Fusion Technique Using Dense SIFT Descriptor and Guided Filter.” Journal of Visual Communication and Image Representation, vol. 62, Elsevier BV, July 2019, pp. 295–308, doi:10.1016/j.jvcir.2019.06.002.
APA	Hayat, N., & Imran, M. (2019). Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter. Journal of Visual Communication and Image Representation, 62, 295–308. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.jvcir.2019.06.002
BibTeX	@article{Hayat_2019, doi = {10.1016/j.jvcir.2019.06.002}, url = {https://doi.org/10.1016%2Fj.jvcir.2019.06.002}, year = 2019, month = {jul}, publisher = {Elsevier {BV}}, volume = {62}, pages = {295--308}, author = {Naila Hayat and Muhammad Imran}, title = {Ghost-free multi exposure image fusion technique using dense {SIFT} descriptor and guided filter}, journal = {Journal of Visual Communication and Image Representation} }