Rank-Based Illumination Estimation

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version published as: 

Shi, L., and Funt, B. "Rank-Based Illumination Estimation." Proc. CIC'21 Twenty-first IS&T Color Imaging Conference, Albuquerque, Nov. 2013.

Date created: 
2013-11
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.

Description: 

Presented at the CIC'21 Color Imaging Conference, November 2013.

Language: 
English
Document type: 
Conference presentation
Rights: 
Rights remain with the authors.
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