In this study, a multiexposure image fusion approach using homomorphic filtering and detail enhancement is proposed. First, the N input low dynamic range (LDR) RGB color images are transformed into the HSI color space. Intensity enhancement is achieved by homomorphic filtering, gamma correction is used to compensate the nonlinear response of display devices, and "cross-image" median filtering is used to generate the reference intensity image. Guided filtering and weighted least squares (WLS)

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... imization are used to perform local and global detail extractions on the N processed LDR images, respectively. The N weighting maps of the N processed LDR images are estimated by spatial and cross-image consistencies and then refined by cross bilateral filtering. Finally, the multiresulution spline based scheme is used to perform multiexposure image fusion. Based on the experimental results obtained in this study, the performance of the proposed approach is better than those of four comparison approaches. Keywords-low dynamic range (LDR) image; high dynamic range (HDR) image; tone mapping; homomorphic filtering; multiexposure image fusion