JOURNAL ARTICLE

Multi-View Image Color Correction Using 3D Point Set Registration

Abstract

In this paper, a novel color correction method for multi-view images is proposed to improve color consistency successfully. Contrast to the conventional methods trying to find a transfer function per color channel, the proposed method deforms the color distribution of the image non-rigidly into that of the reference image by exploiting a 3D point set registration algorithm. In order to alleviate the computational complexity of the 3D registration process, we approximate the image color distribution consisting of all the image pixels by extracting a much smaller number of representative color points to be used for 3D registration. Extensive experiments confirm that the proposed method achieves excellent performance in color consistency enhancement both subjectively and objectively, and the proposed representative color point set approximation enhances the computational efficiency successfully.

Keywords:
Artificial intelligence Computer vision Computer science Color image Color correction Pixel Consistency (knowledge bases) Color balance Point (geometry) Image (mathematics) Set (abstract data type) Color difference Color normalization Computational complexity theory Process (computing) Mathematics Image processing Algorithm Enhanced Data Rates for GSM Evolution

Metrics

3
Cited By
0.20
FWCI (Field Weighted Citation Impact)
16
Refs
0.49
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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