scatter-plot method for blind additive noise variance
evaluation in images
V.V. Abramova
A
method for blind additive noise variance evaluation has been proposed. It is based
on first degree polynomial fitting into “normal” reference points on
scatter-plot of local variance and mean estimates. Numerical simulation results
obtained for images from TID2008 database show that accuracy of the method is
higher in comparison to other known methods. The most significant accuracy
increase is observed for highly-textural images containing many edges and small
objects. The method is effective both for cases of spatially uncorrelated and
correlated noise.
Key words: remote sensing, additive
noise, blind variance evaluation, regression analysis.