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LICENSE (1071, 2019-10-11)
LytroDataset (0, 2019-10-11)
LytroDataset\lytro-01-A.jpg (29704, 2019-10-11)
LytroDataset\lytro-01-B.jpg (32513, 2019-10-11)
LytroDataset\lytro-02-A.jpg (30851, 2019-10-11)
LytroDataset\lytro-02-B.jpg (30424, 2019-10-11)
LytroDataset\lytro-03-A.jpg (31039, 2019-10-11)
LytroDataset\lytro-03-B.jpg (32801, 2019-10-11)
LytroDataset\lytro-04-A.jpg (28778, 2019-10-11)
LytroDataset\lytro-04-B.jpg (29291, 2019-10-11)
LytroDataset\lytro-05-A.jpg (29022, 2019-10-11)
LytroDataset\lytro-05-B.jpg (41387, 2019-10-11)
LytroDataset\lytro-06-A.jpg (32116, 2019-10-11)
LytroDataset\lytro-06-B.jpg (33603, 2019-10-11)
LytroDataset\lytro-07-A.jpg (66475, 2019-10-11)
LytroDataset\lytro-07-B.jpg (65997, 2019-10-11)
LytroDataset\lytro-08-A.jpg (48904, 2019-10-11)
LytroDataset\lytro-08-B.jpg (47991, 2019-10-11)
LytroDataset\lytro-09-A.jpg (38635, 2019-10-11)
LytroDataset\lytro-09-B.jpg (37131, 2019-10-11)
LytroDataset\lytro-10-A.jpg (65166, 2019-10-11)
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LytroDataset\lytro-11-A.jpg (29611, 2019-10-11)
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LytroDataset\lytro-12-A.jpg (31415, 2019-10-11)
LytroDataset\lytro-12-B.jpg (42548, 2019-10-11)
LytroDataset\lytro-13-A.jpg (34158, 2019-10-11)
LytroDataset\lytro-13-B.jpg (60321, 2019-10-11)
LytroDataset\lytro-14-A.jpg (31407, 2019-10-11)
LytroDataset\lytro-14-B.jpg (32479, 2019-10-11)
LytroDataset\lytro-15-A.jpg (33908, 2019-10-11)
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LytroDataset\lytro-16-A.jpg (81275, 2019-10-11)
LytroDataset\lytro-16-B.jpg (76360, 2019-10-11)
LytroDataset\lytro-17-A.jpg (167423, 2019-10-11)
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LytroDataset\lytro-18-A.jpg (25493, 2019-10-11)
LytroDataset\lytro-18-B.jpg (23906, 2019-10-11)
LytroDataset\lytro-19-A.jpg (140925, 2019-10-11)
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# Evaluation-Metrics-for-Image-Fusion In MATLAB Change the code of image reading and run *Score.m*. The input images should be **RGB** with the type **int**. These four evaluation metrics are widely used in multi-focus image fusion. The related papers are as follows: [1]Hossny, M., Nahavandi, S., & Creighton, D. (2008). Comments on'Information measure for performance of image fusion'. Electronics letters, 44(18), 1066-1067. http://dro.deakin.edu.au/eserv/DU:30017835/hossny-commentsoninformation-2008.pdf [2]Xydeas, C. A., & Petrovic, V. (2000). Objective image fusion performance measure. Electronics letters, 36(4), 308-309. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.332.7913&rep=rep1&type=pdf [3]Yang, C., Zhang, J. Q., Wang, X. R., & Liu, X. (2008). A novel similarity based quality metric for image fusion. Information Fusion, 9(2), 156-160. https://www.sciencedirect.com/science/article/abs/pii/S1566253506000704 [4]Chen, Y., & Blum, R. S. (2009). A new automated quality assessment algorithm for image fusion. Image and vision computing, 27(10), 1421-1432. https://www.sciencedirect.com/science/article/pii/S026288560700220X We also include **Lytro dataset** here, if it is used in your research, you might have to include the original paper. http://www.irisa.fr/temics/demos/lightField/index.html

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