Singular value decomposition-based illumination compensation in video

Authors:
Ki-Youn Lee;Rae-Hong Park
Affiliations:
Department of Electronic Engineering, Sogang University, Seoul, Korea;Department of Electronic Engineering, Sogang University, Seoul, Korea
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Year:
2006

Citing 6
Cited 0

A novel algorithm for color constancy

International Journal of Computer Vision
Video Processing and Communications

Video Processing and Communications
Motion compensation in color video with illumination variations

ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Improving gamut mapping color constancy

IEEE Transactions on Image Processing
A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data

IEEE Transactions on Image Processing
A comparison of computational color constancy Algorithms. II. Experiments with image data

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a singular value decomposition (SVD)-based illumination compensation method in video having varying scene illumination. In video that does not contain scene changes, the color distributions in the RGB space are different frame to frame, mainly due to varying illumination. In this paper, the color distribution of a scene is modeled as an ellipsoid using SVD and scene illumination of successive frames is preserved by the linear transformation in the RGB space. The effect of illumination change is effectively removed by the linear transformation and the similarity measures such as the normalized cross correlation, the sum of absolute differences, and the sum of squared differences of two successive image frames, are preserved, which illustrates the effectiveness of the proposed algorithm. Simulation results with several synthetic and real test sequences show the robustness of the proposed method to illumination changes compared with the conventional methods.