Detail-Enhanced Exposure Fusion

被引:123
作者
Li, Zheng Guo [1 ]
Zheng, Jing Hong [1 ]
Rahardja, Susanto [1 ]
机构
[1] Agcy Sci Technol & Res, Signal Proc Dept, Inst Infocomm Res, Singapore 138632, Singapore
关键词
Detail enhancement; details extraction; exposure fusion; quadratic optimization; vector field;
D O I
10.1109/TIP.2012.2207396
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a typical processing chain of image enhancement, an exposure fusion scheme can be used to synthesize a more detailed low dynamic range (LDR) image directly from a set of differently exposed LDR images, without generation of an intermediate high dynamic range image. In this brief, we introduce a new quadratic optimization-based method to extract fine details from a vector field. The new method extracts fine details from a set of differently exposed LDR images simultaneously. The extracted fine details are then added to an intermediate LDR image which is fused by simply using an existing exposure fusion scheme. With this, the proposed scheme can enhance fine details to produce sharper images.
引用
收藏
页码:4672 / 4676
页数:6
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