NDLI: Image enhancement method via blur and noisy image fusion

Content Provider	IEEE Xplore Digital Library
Author	Tico, M. Pulli, K.
Copyright Year	2009
Description	Author affiliation: Nokia Research Center, Palo Alto, CA, USA (Tico, M.; Pulli, K.)
Abstract	We present an image enhancement algorithm based on fusing the visual information present in two images of the same scene, captured with different exposure times. The main idea is to exploit the differences between the image degradations that affect the two images. On one hand the short-exposed image is less affected by motion blur, whereas the long-exposed image is less affected by noise. Different fusion rules are designed for the luminance and chrominance components such that to preserve the desirable properties from each input image. We also present a method for estimating the brightness transfer function between the input images for photometric calibration of the short-exposed image with respect to the long-exposed image. As no global blur PSF is assumed, our method can deal with blur from both camera and object motions. We demonstrate the algorithm by a series of experiments and simulations.
Starting Page	1521
Ending Page	1524
File Size	715705
Page Count	4
File Format	PDF
ISBN	9781424456536
ISSN	15224880
e-ISBN	9781424456543
e-ISBN	9781424456550
DOI	10.1109/ICIP.2009.5413626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-07
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image enhancement Image fusion Cameras Degradation Layout Photometry Calibration Image restoration Brightness Transfer functions brightness transfer function low light imaging motion blur noise filtering photometric calibration
Content Type	Text
Resource Type	Article

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