Please use this identifier to cite or link to this item: https://doi.org/10.1109/TVCG.2009.92
Title: Globally optimized linear windowed tone mapping
Authors: Shan, Q.
Jia, J.
Brown, M.S. 
Keywords: Display algorithms
Filtering
High dynamic range image
Image enhancement
Tone mapping
Issue Date: 2010
Source: Shan, Q., Jia, J., Brown, M.S. (2010). Globally optimized linear windowed tone mapping. IEEE Transactions on Visualization and Computer Graphics 16 (4) : 663-675. ScholarBank@NUS Repository. https://doi.org/10.1109/TVCG.2009.92
Abstract: This paper introduces a new tone mapping operator that performs local linear adjustments on small overlapping windows over the entire input image. While each window applies a local linear adjustment that preserves the monotonicity of the radiance values, the problem is implicitly cast as one of global optimization that satisfies the local constraints defined on each of the overlapping windows. Local constraints take the form of a guidance map that can be used to effectively suppress local high contrast while preserving details. Using this method, image structures can be preserved even in challenging high dynamic range (HDR) images that contain either abrupt radiance change, or relatively smooth but salient transitions. Another benefit of our formulation is that it can be used to synthesize HDR images from low dynamic range (LDR) images. © 2006 IEEE.
Source Title: IEEE Transactions on Visualization and Computer Graphics
URI: http://scholarbank.nus.edu.sg/handle/10635/39246
ISSN: 10772626
DOI: 10.1109/TVCG.2009.92
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

47
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

38
checked on Nov 22, 2017

Page view(s)

62
checked on Dec 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.