Computer Engineering Commons^™

An Evaluation Of The Effectiveness Of Adaptive Histogram Equalization For Contrast Enhancement, John B. Zimmerman, Stephen M. Pizer, Edward V. Staab, J. Randolph Perry, William Mccartney, Bradley C. Brenton

All Computer Science and Engineering Research

Adaptive Histogram Equalization (AHE), a method of contrast enhancement which is sensitive to local spatial information in an image, has been proposed as a solution to the problem of the inability of ordinary display devices to depict the full dynamic intensity range in some medical images. This method is automatic, reproducible, and simultaneously displays most of the information contained in the grey-scale contrast of the image. However, it has not been known whether the use of AHE causes the loss of diagnostic information relative to the commonly-used method intensity windowing. In the current work, AHE and intensity windowing are compared …