Reduction of obscuration noise using multiple images
Nomura, Y.
Naruse, H.
Electr. Commun. Labs., NTT, Ibaraki;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Mar 1988
Volume: 10,
Issue: 2
On page(s): 267-270
ISSN: 0162-8828
References Cited: 11
CODEN: ITPIDJ
INSPEC Accession Number: 3152852
Digital Object Identifier: 10.1109/34.3888
Current Version Published: 2002-08-06
Abstract
Noise that replaces, rather than perturbs, a signal is not
amenable to the usual approaches of noise removal. Here, multiple images
of a stationary scene are used to reduce random obscuration or dropout
noise by the following method. For each image coordinate, a gray-level
initial histogram is computed over all the images. The initial
histograms are averaged for all image coordinates, and for each image
coordinate a gray-level histogram corresponding to the object is derived
by subtracting the averaged histogram from the initial one. The gray
level of the object is obtained from the resulting object histogram. The
effectiveness of this method is confirmed through experiments using a
scene obscured by air bubbles in a water tank
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