Color correction using weighted moving least squares in image mosaicking applications

Chengcai Du; Sheng Zhong

doi:10.1117/12.2284770

9 April 2018 Color correction using weighted moving least squares in image mosaicking applications

Chengcai Du, Sheng Zhong

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090Q (2018) https://doi.org/10.1117/12.2284770
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

In image mosaicking applications, the color of images for mosaicking may be inconsistent due to different camera settings and lighting conditions. This paper proposes an effective color correction algorithm to correct the photometrical disparities. Firstly, corresponding points between two images are extracted using SIFT Flow. Secondly, the corresponding points will serve as the control points of the weighted moving least squares algorithm to correct the color of input image. This operation is conducted for each channel of input image respectively in RGB space. Finally, combining three corrected single channel image, we get the final corrected RGB image. Experimental results have shown that the proposed color correction method yields better performance than the state-of-art algorithms.

Citation Download Citation

Chengcai Du and Sheng Zhong "Color correction using weighted moving least squares in image mosaicking applications", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090Q (9 April 2018); https://doi.org/10.1117/12.2284770

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KEYWORDS

RGB color model

Expectation maximization algorithms

Image fusion

Image processing

Image registration

Image processing algorithms and systems

Cameras

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