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|Title:||Enhancing photographs with near infrared images||Authors:||Zhang, X.
|Issue Date:||2008||Citation:||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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