Different Levels of Detail Display for Exposure Fusion Using Local Laplacian Filtering

نویسندگان

  • Chunmeng Wang
  • Changhe Tu
چکیده

Exposure fusion is an efficient method for directly fusing multi-exposure images into a high-quality low dynamic range image, without the high dynamic range (HDR) production and tone mapping process. The previous exposure fusion methods only produced an image that contains a fixed amount of details, which can not satisfy further demands for more detail information. We introduce Local Laplacian Filtering (LLF) for edge-aware image processing to multi-resolution Laplacian pyramid weighted blending method. Our method not only preserves details in the overexposed and underexposed areas, but also shows multi-level detail manipulation by adjusting a simple parameter. Compared with previous methods, our interactive method has a greater flexibility on detail display for the needs of different users.

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عنوان ژورنال:
  • JCP

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014