Literature DB >> 22801512

Detail-enhanced exposure fusion.

Zheng Guo Li, Jing Hong Zheng, Susanto Rahardja.   

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.

Year:  2012        PMID: 22801512     DOI: 10.1109/TIP.2012.2207396

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  3 in total

1.  BMEFIQA: Blind Quality Assessment of Multi-Exposure Fused Images Based on Several Characteristics.

Authors:  Jianping Shi; Hong Li; Caiming Zhong; Zhouyan He; Yeling Ma
Journal:  Entropy (Basel)       Date:  2022-02-16       Impact factor: 2.524

2.  Single Image Defogging Method Based on Image Patch Decomposition and Multi-Exposure Image Fusion.

Authors:  Qiuzhuo Liu; Yaqin Luo; Ke Li; Wenfeng Li; Yi Chai; Hao Ding; Xinghong Jiang
Journal:  Front Neurorobot       Date:  2021-07-07       Impact factor: 2.650

3.  Efficient joint noise removal and multi exposure fusion.

Authors:  Antoni Buades; Jose Luis Lisani; Onofre Martorell
Journal:  PLoS One       Date:  2022-03-25       Impact factor: 3.240

  3 in total

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