Ghosting-free DCT based multi-exposure image fusion
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摘要
We propose a novel algorithm for multi-exposure fusion (MEF). This algorithm decomposes image patches with the DCT transform. Coefficients from patches with different exposure are combined. The luminance and chrominance of the different images are fused separately. The algorithm adapts to dynamic sequences in order to avoid ghosting effects. The initial sequence is processed to be made static before applying the fusion procedure. Experiments with several data sets show that the proposed algorithm performs better than state-of-the-art.
论文关键词:Multi-exposure images,Exposure fusion,Fourier transform
论文评审过程:Received 28 January 2019, Revised 17 June 2019, Accepted 23 July 2019, Available online 29 July 2019, Version of Record 12 August 2019.
论文官网地址:https://doi.org/10.1016/j.image.2019.07.020