Please use this identifier to cite or link to this item:
Title: Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain
Authors: Zhao, Yunfeng
Elliott, Chris
Zhou, Huiyu
Rafferty, Karen
First Published: 18-Feb-2019
Award date: 8-Dec-2018
Presented at: 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, USA
Start Date: 6-Dec-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
Abstract: Achieving color constancy between and within images, i.e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetric analysis and object recognition. Most current methods attempt to solve this by illumination correction on perceptual color spaces. In this paper, we proposed two pixel-wise algorithms to achieve relative color constancy by working under the spectral domain. That is, the proposed algorithms map each pixel to the reflectance ratio of objects appeared in the scene and perform illumination correction in this spectral domain. Also, we proposed a camera calibration technique that calculates the characteristics of a camera without the need of a standard reference. We show that both of the proposed algorithms achieved the best performance on nonuniform illumination correction and relative illumination matching respectively compared to the benchmarked algorithms.
DOI Link: 10.1109/ISSPIT.2018.8642637
ISSN: 2162-7843
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © 2019, Institute of Electrical and Electronics Engineers (IEEE). Deposited with reference to the publisher’s open access archiving policy. (
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

Files in This Item:
File Description SizeFormat 
1570496112.pdfPost-review (final submitted author manuscript)671.84 kBAdobe PDFView/Open

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