Title :
Perceptual evaluation of the mean-square error choice of regularization parameter
Author :
Reeves, Stanley J. ; Higdon, Angela C.
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
fDate :
1/1/1995 12:00:00 AM
Abstract :
A formal perceptual study shows that the perceptually optimal choice of regularization parameter varies from the minimum mean-square error parameter as a function of the original image, the point-spread function, and the signal-to noise ratio (SNR). However, further studies show that this variation has only a slight effect on the perceived quality of the restoration
Keywords :
image restoration; least mean squares methods; parameter estimation; visual perception; formal perceptual study; mean-square error choice; minimum mean-square error parameter; perceived quality; perceptually optimal choice; point-spread function; regularization parameter; restoration; signal-to noise ratio; Additive noise; Degradation; Estimation theory; Image restoration; Laplace equations; Maximum likelihood estimation; Parameter estimation; Particle measurements; Signal restoration; Signal to noise ratio;
Journal_Title :
Image Processing, IEEE Transactions on
