Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148972
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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