On estimating the quality of noisy images
Zhang, Z.
Blum, R.S.
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA;
This paper appears in: Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Publication Date: 12-15 May 1998
Volume: 5,
On page(s): 2897-2900 vol.5
Meeting Date: 05/12/1998 - 05/15/1998
Location: Seattle, WA, USA
ISSN: 1520-6149
ISBN: 0-7803-4428-6
References Cited: 9
INSPEC Accession Number: 6061799
Digital Object Identifier: 10.1109/ICASSP.1998.678131
Current Version Published: 2002-08-06
Abstract
Some new techniques are proposed for estimating the quality of a
noisy image of a natural scene. Analytical justifications are given
which explain why these techniques work. Experimental results are
provided which indicate that the techniques work well in practice. These
techniques need only the images to be evaluated and do not use detailed
information about the formation of the image. The focus is on the case
where the image is only corrupted by additive Gaussian noise, which is
independent from pixel to pixel, but some cases with blurring are also
considered. These results should be useful in the process of fusing
several images to obtain a higher quality image. Quality measures of
this type are needed for fusion, but they have not received much
attention to date. In this research, a mixture model is used in
conjugation with the expectation-maximization (EM) algorithm to model
edge images. This approach yields an accurate representation which
should also be useful in other image processing research
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
