Intelligent Detail Enhancement for Exposure Fusion

Intelligent Detail Enhancement for Exposure Fusion
Title:
Intelligent Detail Enhancement for Exposure Fusion
Other Titles:
IEEE Transactions on Multimedia
Keywords:
Publication Date:
24 August 2017
Citation:
F. Kou, Z. Wei, W. Chen, X. Wu, C. Wen and Z. Li, "Intelligent Detail Enhancement for Exposure Fusion," in IEEE Transactions on Multimedia, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TMM.2017.2743988
Abstract:
Multi-scale exposure fusion is a fast approach to fuse several differently exposed images captured at the same high dynamic range (HDR) scene into a high quality low dynamic range (LDR) image. The fused image is expected to include all details of the input images. However, the details in the brightest and darkest regions are usually not well preserved. Adding details that are extracted from the input images to the fused image is an efficient approach to overcome the problem. In this paper, a new gradient domain weighted least square based image smoothing algorithm is proposed to extract the details in the brightest and darkest regions of the HDR scene. The extracted details are then added to an image that is produced using an edge-preserving smoothing pyramid based multi-scale exposure fusion algorithm. Experimental results show that the proposed detail enhanced exposure fusion algorithm can preserve details in saturated regions, especially the brightest regions better than the state-of-the-art multi-scale exposure fusion algorithms.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1520-9210
1941-0077
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