Rank-Based Illumination Estimation

Resource type
Date created
2013-11
Authors/Contributors
Author: Shi, Lilong
Author: Funt, Brian
Abstract
A new two-stage illumination estimation method based on the concept of rank is presented. The method first estimates the illuminant locally in subwindows using a ranking of digital counts in each color channel and then combines local subwindow estimates again based on a ranking of the local estimates. The proposed method unifies the MaxRGB and Grayworld methods. Despite its simplicity, the performance of the method is found to be competitive with other state-of-the art methods for estimating the chromaticity of the overall scene illumination.
Document
Description
Presented at the CIC'21 Color Imaging Conference, November 2013.
Published as
Shi, L., and Funt, B. "Rank-Based Illumination Estimation." Proc. CIC'21 Twenty-first IS&T Color Imaging Conference, Albuquerque, Nov. 2013.
Publication title
Proc. CIC'21 Twenty-first Color Imaging Conference
Document title
Rank-Based Illumination Estimation
Date
2013
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
Member of collection
Attachment Size
Shi_Funt_RankBased.pdf 504.43 KB