User-guided white balance for mixed lighting conditions
Name
Durand_User-guided white.pdf
Size
35.32 MB
Format
Adobe PDF
Checksum (MD5)
5b3e23b5dbb278be3188c55bf1b49657
Author(s)
Boyadzhiev, Ivaylo
Bala, Kavita
Paris, Sylvain
Durand, Fredo
Date Issued
November 2012
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Citation
Boyadzhiev, Ivaylo, Kavita Bala, Sylvain Paris, and Frédo Durand. “User-Guided White Balance for Mixed Lighting Conditions.” ACM Transactions on Graphics 31, no. 6 (November 1, 2012): p. 1-10.
Version
Author's final manuscript
Abstract
Proper white balance is essential in photographs to eliminate color casts due to illumination. The single-light case is hard to solve automatically but relatively easy for humans. Unfortunately, many scenes contain multiple light sources such as an indoor scene with a window, or when a flash is used in a tungsten-lit room. The light color can then vary on a per-pixel basis and the problem becomes challenging at best, even with advanced image editing tools.
We propose a solution to the ill-posed mixed light white balance problem, based on user guidance. Users scribble on a few regions that should have the same color, indicate one or more regions of neutral color, and select regions where the current color looks correct. We first expand the provided scribble groups to more regions using pixel similarity and a robust voting scheme. We formulate the spatially varying white balance problem as a sparse data interpolation problem in which the user scribbles and their extensions form constraints. We demonstrate that our approach can produce satisfying results on a variety of scenes with intuitive scribbles and without any knowledge about the lights.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2366145.2366219
