Color Correction for Stereoscopic Images Based on Gradient Preservation

  • Pengyu Liu
  • Yuzhen NiuEmail author
  • Junhao Chen
  • Yiqing Shi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 997)


Color correction can eliminate the color difference between similar images in image stitching and 3D video reconstruction. The result images generated by the local color correction algorithms usually show structure inconsistency problem with the input images. In order to solve this problem, we propose a structure consistent color correction algorithm for stereoscopic images based on gradient preservation. This method can not only eliminate color difference between reference and target images, but also optimize structure between the input target image and the result image. Firstly, the algorithm extracts the structure information of the target image and style information of the reference image using the SIFT algorithm and generates the structure image and the pixel matching image. Then an initial result image is generated by local pixel mapping. Finally the initial result image is iteratively optimized by the gradient preserving algorithm. The experimental results show that our algorithm can not only optimize the structure inconsistency, but also effectively process image pairs with large color difference.


SIFT feature match Color correction Region mapping Gradient preservation 



The presented research work is supported by the National Natural Science Foundation of China under Grant 61672158, Grant 61671152, and Grant 61502105, in part by the Fujian Natural Science Funds for Distinguished Young Scholar under Grant 2015J06014, in part by the Technology Guidance Project of Fujian Province under Grant No. 2017H0015, and in part by the Fujian Collaborative Innovation Center for Big Data Application in government.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Pengyu Liu
    • 1
  • Yuzhen Niu
    • 1
    • 2
    Email author
  • Junhao Chen
    • 1
  • Yiqing Shi
    • 1
  1. 1.College of Mathematics and Computer ScienceFuzhou UniversityFuzhouChina
  2. 2.Fujian Provincial Key Lab of the Network Computing and Intelligent Information ProcessingFujianChina

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