A Content-Adaptive Multi-View Video Color Correction Algorithm

Author

Feng Shao ; Gangyi Jiang ; Mei Yu ; Ken Chen

Author_Institution

Fac. of Inf. Sci. & Eng., Ningbo Univ., China

Volume

1

fYear

2007

fDate

15-20 April 2007

Abstract

A content-adaptive color correction algorithm for multi-view video is proposed due to variation in lighting or camera parameters. We first establish color correction property between the target image and source image. Then color correction matrix can be obtained by global correction or preferred region matching correction. Finally, video tracking technique is used to correct multi-view video sequences. Experimental results show the proposed algorithm has better correction effect for different multi-view video sequences.

Keywords

cameras; image colour analysis; image sequences; lighting; matrix algebra; video signal processing; camera; color correction matrix; content-adaptive multiview video color correction algorithm; global correction; lighting; matching correction; multiview video sequences; source image; target image; video tracking technique; Clustering algorithms; Color; Colored noise; Covariance matrix; Image processing; Image segmentation; Image sequences; Signal processing algorithms; TV; Video sequences; Image processing; color; image segmentation; video signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366071

Filename

4217243