18 January 1988 Adaptive Minimum-Error, Minimum Correlation Image Restoration
Author Affiliations +
Abstract
A new estimation criterion, called the minimum-error, minimum-correlation (MEMC) criterion, is applied to the point estimation of images in additive noise in conjunction with calculation of local statistical parameters in an adaptive analysis window. The MEMC estimator produces sharper and hence more visually pleasing restorations than the usual minimum mean squared error estimator and the use of adaptive analysis windows tends to isolate the locally stationary portions of the image in calculation of image statistics. As most of the remaining noise in these restorations resides on the edges within the images, a postprocessing step of edge detection and edge smoothing is then applied for its reduction. Such image restorations are compared to those of minimum mean squared error in both fixed and adaptive window implementations.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William A. Pearlman, William A. Pearlman, Balakrishnan Mahesh, Balakrishnan Mahesh, } "Adaptive Minimum-Error, Minimum Correlation Image Restoration", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942102; https://doi.org/10.1117/12.942102
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

An adaptive image restoration with spatial statistics
Proceedings of SPIE (May 07 2003)
Limitation and challenges of image quality measurement
Proceedings of SPIE (July 13 2010)
Digital Image Restoration - Survey
Proceedings of SPIE (March 01 1975)

Back to Top