Please use this identifier to cite or link to this item:
|Title:||Enhancing photographs with near infrared images|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 10, 2019
checked on Dec 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.