Adaptive Minimum-Error, Minimum Correlation Image Restoration

William A. Pearlman; Balakrishnan Mahesh

doi:10.1117/12.942102

18 January 1988 Adaptive Minimum-Error, Minimum Correlation Image Restoration

William A. Pearlman, Balakrishnan Mahesh

Proceedings Volume 0829, Applications of Digital Image Processing X; (1988) https://doi.org/10.1117/12.942102
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

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.

Citation Download Citation

William A. Pearlman and Balakrishnan Mahesh "Adaptive Minimum-Error, Minimum Correlation Image Restoration", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942102

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