NDLI: Simple effective image and video color correction using quaternion distance metric

Content Provider	IEEE Xplore Digital Library
Author	Soo-Chang Pei Yu-Zhe Hsiao
Copyright Year	2015
Description	Author affiliation: Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Soo-Chang Pei; Yu-Zhe Hsiao)
Abstract	Color correction or stabilization methods for image and video are important in signal processing areas. We can obtain image and video with better quality and more pleasing appearance by applying these correction methods. Besides, color corrected image and video also can be used to enhance performance of many post-processing techniques, such as pattern recognition, object tracking, human face matching, etc. In this paper, we have proposed a color correction algorithm based on quaternion algebra for color image and video. First, our method uses quaternion color distance metric to compute the pixel-based color differences between target image (or video frame) and reference image/video frame with similar appearance but slightly different illumination condition. After the color differences of image pixels are obtained, we use these pixels to calculate a correction matrix and use this matrix to correct target image and video frame. Our method can be applied to image and video with fast processing speed and has good performance when compared it with state-of-the-art method in the literature. The algorithm is also simple, effective, and easy to be implemented.
Starting Page	2920
Ending Page	2924
File Size	1153245
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351337
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Quaternions Streaming media Color Algebra Calibration image processing Color calibration color stabilization quaternion algebra white balancing
Content Type	Text
Resource Type	Article

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