JCP 2014 Vol.9(9): 2181-2185 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2181-2185
doi: 10.4304/jcp.9.9.2181-2185
Different Levels of Detail Display for Exposure Fusion Using Local Laplacian Filtering
Chunmeng Wang and Changhe Tu
1School of Computer Science and Technology, Shandong University, Jinan, China
Abstract—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.
Index Terms—high dynamic range image, HDR, exposure fusion, Laplacian pyramid, image enhancement
Abstract—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.
Index Terms—high dynamic range image, HDR, exposure fusion, Laplacian pyramid, image enhancement
Cite: Chunmeng Wang and Changhe Tu, "Different Levels of Detail Display for Exposure Fusion Using Local Laplacian Filtering," Journal of Computers vol. 9, no. 9, pp. 2181-2185, 2014.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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