NDLI: Exposure Fusion Using Boosting Laplacian Pyramid

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Year : 2013 Volume : 43

Exposure Fusion Using Boosting Laplacian Pyramid

Content Provider	IEEE Xplore Digital Library
Author	Jianbing Shen Ying Zhao Shuicheng Yan Xuelong Li
Copyright Year	2013
Abstract	This paper proposes a new exposure fusion approach for producing a high quality image result from multiple exposure images. Based on the local weight and global weight by considering the exposure quality measurement between different exposure images, and the just noticeable distortion-based saliency weight, a novel hybrid exposure weight measurement is developed. This new hybrid weight is guided not only by a single image's exposure level but also by the relative exposure level between different exposure images. The core of the approach is our novel boosting Laplacian pyramid, which is based on the structure of boosting the detail and base signal, respectively, and the boosting process is guided by the proposed exposure weight. Our approach can effectively blend the multiple exposure images for static scenes while preserving both color appearance and texture structure. Our experimental results demonstrate that the proposed approach successfully produces visually pleasing exposure fusion images with better color appearance and more texture details than the existing exposure fusion techniques and tone mapping operators.
Starting Page	1579
Ending Page	1590
Page Count	12
File Size	43915809
File Format	PDF
ISSN	21682267
Volume Number	44
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boosting Laplace equations Image color analysis Vectors Dynamic range Weight measurement Imaging gradient vector Boosting Laplacian pyramid exposure fusion global and local exposure weight
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Detail-Enhanced Exposure Fusion

Construction of high dynamic range image based on gradient information transformation

Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function

Generalized Random Walks for Fusion of Multi-Exposure Images

Perceptual multi-exposure image fusion with overall image quality index and local saturation

Image enhancement using a fusion framework of histogram equalization and laplacian pyramid

Detail Enhancement Multi-Exposure Image Fusion Based on Homomorphic Filtering

Spatio-Temporal Laplacian Pyramid Coding for Action Recognition

Non Local Exposure Fusion

Exposure Fusion Using Boosting Laplacian Pyramid

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