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|Title:||RGB-NIR image fusion||Authors:||Pan, Liangyi||Keywords:||Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||2021||Publisher:||Nanyang Technological University||Source:||Pan, L. (2021). RGB-NIR image fusion. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148972||Project:||B3039-201||Abstract:||Image processing techniques, such as linear filters and non-linear filters were studied and gaussian filter was used. Various Convolutional Neural Networks variants were also introduced and evaluated based on their ability in feature extraction. A pre-trained VGG-19 network using ImageNet weights was chosen for this project. Past Image Fusion methods were also studied. A fusion strategy was then proposed. Lastly, the proposed solution was evaluated against other image fusion methods using several quality metrics, where the proposed solution showed positive results on par with more recent methods such as DenseFuse and IFCNN||URI:||https://hdl.handle.net/10356/148972||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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