Edge-preserving smoothing pyramid based multi-scale exposure fusion

Multi-scale exposure fusion is an efficient approach to fuse multiple differently exposed images of a high dynamic range (HDR) scene directly for displaying on a conventional low dynamic range (LDR) display device without generating an intermediate HDR image. It can produce images with higher qualit...

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Main Authors: Kou, Fei, Li, Zhengguo, Wen, Changyun, Chen, Weihai
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2020
主題:
在線閱讀:https://hdl.handle.net/10356/142108
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機構: Nanyang Technological University
語言: English
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總結:Multi-scale exposure fusion is an efficient approach to fuse multiple differently exposed images of a high dynamic range (HDR) scene directly for displaying on a conventional low dynamic range (LDR) display device without generating an intermediate HDR image. It can produce images with higher quality than single-scale exposure fusion, but has a risk of producing halo artifacts and cannot preserve details in brightest or darkest regions well in the fused image. In this paper, an edge-preserving smoothing pyramid is introduced for the multi-scale exposure fusion. Benefiting from the edge-preserving property of the filter used in the algorithm, the details in the brightest/darkest regions are preserved well and no halo artifacts are produced in the fused image. The complexity of the proposed edge-preserving smoothing pyramid could be an issue. A hybrid smoothing pyramid is proposed to obtain a good trade-off between the complexity of algorithm and the quality of fused images. The experimental results prove that the proposed algorithms produce better fused images than the state-of-the-art algorithms both qualitatively and quantitatively.