Title :
Detail-Enhanced Exposure Fusion
Author :
Li, Zheng Guo ; Zheng, Jing Hong ; Rahardja, Susanto
Author_Institution :
Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
Abstract :
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.
Keywords :
image enhancement; image fusion; optimisation; vectors; LDR image; detail-enhanced exposure fusion; image enhancement; low dynamic range image; quadratic optimization; vector field; Dynamic range; Graphics; Imaging; Laplace equations; Lighting; Optimization; Vectors; Detail enhancement; details extraction; exposure fusion; quadratic optimization; vector field;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2012.2207396