NDLI: Motion-blur-free exposure fusion

Content Provider	IEEE Xplore Digital Library
Author	Tico, M. Gelfand, N. Pulli, K.
Copyright Year	2010
Description	Author affiliation: Nokia Research Center, Palo Alto, CA, USA (Tico, M.; Gelfand, N.; Pulli, K.)
Abstract	We present a novel approach to HDR (high-dynamic-range) image fusion that copes with image blur degradation often present in long-exposed images. The proposed approach can deal with both camera and object motion blur in a computationally efficient manner suitable for implementation on a mobile device. The main idea is to exploit the differences between the image degradations that affect images captured for HDR fusion. Short-exposed images are mainly affected by sensor noise and less affected by motion blur, whereas longer exposed images are less noisy but potentially blurry due to motion during their exposure. Our approach consists of two steps. First we calculate an HDR representation of the scene by applying a typical HDR fusion approach. This representation could be blurry if some of the input images with long exposure time are blurry. We then fuse the HDR result with a photometrically modified version of the image with the shortest exposure time, which allows us to retain the sharpness of the short-exposed image and the noise-free characteristics of the HDR-fused image. The method does not assume an invariant blur PSF over any of the input images, and hence it can solve both for local and global blur, due to object or camera motion, respectively. We demonstrate the algorithm through a series of experiments and comparisons on natural images.
Starting Page	3321
Ending Page	3324
File Size	869663
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Image color analysis Noise Noise measurement Cameras Dynamic range Image fusion exposure fusion high dynamic range motion blur photometric calibration multi-resolution fusion
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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