28 May 2015 Detail-enhanced and brightness-adjusted exposure image fusion
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We present a multiexposure image fusion method that can enhance details, yet effectively improve brightness in the final result. In addition, a valid weight measurement is developed to remove motion objects in dynamic scenes. During the fusion process, each source image is first decomposed into one low-pass sub-band and a series of high-pass directional sub-bands using the nonsubsampled contourlet transform. Then the blended sub-bands are constructed by weight maps of the source images. To preserve the details of source images and adjust brightness of final image, gain control maps are used for each fused sub-band. Experimental results demonstrate that the proposed method significantly outperforms the traditional methods in terms of both visual inspection and objective evaluation, especially in cases which the regions of interest are in dark areas.
© 2015 SPIE and IS&T
Guocheng Yang, Guocheng Yang, Meiling Li, Meiling Li, Yunbo Rao, Yunbo Rao, Leiting Chen, Leiting Chen, } "Detail-enhanced and brightness-adjusted exposure image fusion," Journal of Electronic Imaging 24(3), 033017 (28 May 2015). https://doi.org/10.1117/1.JEI.24.3.033017 . Submission:

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