Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2008.4587825
Title: Enhancing photographs with near infrared images
Authors: Zhang, X.
Sim, T. 
Miao, X.
Issue Date: 2008
Source: Zhang, X.,Sim, T.,Miao, X. (2008). Enhancing photographs with near infrared images. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2008.4587825
Abstract: Near Infra-Red (NIR) images of natural scenes usually have better contrast and contain rich texture details that may not be perceived in visible light photographs (VIS). In this paper, we propose a novel method to enhance a photograph by using the contrast and texture information of its corresponding NIR image. More precisely, we first decompose the NIR/VIS pair into average and detail wavelet subbands. We then transfer the contrast in the average sub-band and transfer texture in the detail subbands. We built a special camera mount that optically aligns two consumer-grade digital cameras, one of which was modified to capture NIR.Our results exhibit higher visual quality than tone-mapped HDR images, showing that NIR imaging is useful for computational photography. ©2008 IEEE.
Source Title: 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
URI: http://scholarbank.nus.edu.sg/handle/10635/41223
ISBN: 9781424422432
DOI: 10.1109/CVPR.2008.4587825
Appears in Collections:Staff Publications

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