Balakrishnan Mahesh VLSI Systems and Video Communications (United States) Woo-Jin Song Pohang Institute of Science and Technology (South Korea) William A. Pearlman Rensselaer Polytechnic Institute (United States)
A new estimation criterion called the minimum-error minimum correlation
(MEMC) criterion is implemented in conjunction with an adaptive
windowing technique. The image statistics are calculated within the
window, the dimensions of which vary depending on the local statistics.
The MEMC estimator produces sharper and hence visually more pleasing
restorations, while the adaptive windows tend to isolate regions of the
image that are locally stationary. Since most of the error after restoration
is in the vicinity of edges, a postprocessing step of filtering along the
edges is applied. These image restorations are compared to both fixed
and adaptive minimum mean squared error estimators.