10 April 2018 An improved artifact removal in exposure fusion with local linear constraints
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152K (2018) https://doi.org/10.1117/12.2303539
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
In exposure fusion, it is challenging to remove artifacts because of camera motion and moving objects in the scene. An improved artifact removal method is proposed in this paper, which performs local linear adjustment in artifact removal progress. After determining a reference image, we first perform high-dynamic-range (HDR) deghosting to generate an intermediate image stack from the input image stack. Then, a linear Intensity Mapping Function (IMF) in each window is extracted based on the intensities of intermediate image and reference image, the intensity mean and variance of reference image. Finally, with the extracted local linear constraints, we reconstruct a target image stack, which can be directly used for fusing a single HDR-like image. Some experiments have been implemented and experimental results demonstrate that the proposed method is robust and effective in removing artifacts especially in the saturated regions of the reference image.
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Hai Zhang, Mali Yu, "An improved artifact removal in exposure fusion with local linear constraints", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152K (10 April 2018); doi: 10.1117/12.2303539; https://doi.org/10.1117/12.2303539
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