Abstract
Digital imaging system has limited capability of capturing images for the scenes with very High Dynamic Range(HDR). Exposure fusion is a useful method to form an HDR-like Low Dynamic Range(LDR) image by directly combining differently exposed LDR images. The common methods have problems in dealing with weak edges and textures especially when they are not clear in all input images. To address this problem, a novel gradient adjustment method is proposed based on the local feature. Then, the gradient-magnitude difference between the small detail and strong edge is significantly decreased. Experimental results demonstrate that the proposed method is robust and effective in local detail enhancement and meanwhile preserving the global consistency.
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Yu, M., Zhang, H. (2014). A Novel Detail-Enhanced Exposure Fusion Method Based on Local Feature. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_44
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DOI: https://doi.org/10.1007/978-3-319-09333-8_44
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09332-1
Online ISBN: 978-3-319-09333-8
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