Color correction using weighted moving least squares in image mosaicking applications
Sheng Zhong, Chenfeng Du · 2018
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.