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Summary: RELIABLE AND FAST STRUCTURE-ORIENTED VIDEO NOISE ESTIMATION
Aishy Amer Amar Mitiche
INRS-TŽelŽecommunications
UniversitŽe du QuŽebec, MontrŽeal, Canada
Eric Dubois
School of Information Technology and Eng.
University of Ottawa, Ottawa, Canada
amer@inrs-telecom.uquebec.ca
ABSTRACT
The purpose of this paper is to introduce a fast automated white-
noise estimation method which gives reliable estimates in images
with smooth and textured areas. This method is a block-based
method that takes image structure into account and uses a mea-
sure other than the variance to determine if a block is homoge-
neous. It uses no thresholds and automates the way that block-
based methods stop the averaging of block variances. The pro-
posed method selects intensity-homogeneous blocks in an image
by rejecting blocks of structure using a new structure analyzer. The
analyzer used is based on high-pass operators and special masks
for corners to allow implicit detection of structure and to stabilize
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