RPW: a hybrid reverse prediction method for level of detail.

In this paper, we propose a way of using multiple domain analysis methodology to speed up the image rendering process. We first apply wavelet transform to the original image, and then compress the wavelets in the frequency domain using histogram equalization techniques. When rendering the image, we uncompress the wavelets and reverse predict the upper level images.

The story behind the development of the first whole-body computerized tomography scanner as told by Robert S. Ledley.

“The army called me down to New York [in 1950]. I was with New York University (NYU)—and the colonel said to me, ‘Well, if you volunteer to be in the army, then you'll become a lieutenant, an officer. But if you don't volunteer, you'll be drafted anyway, and sent to boot camp.

Processing X-ray images to eliminate irrelevant structures that mask important features.

In a plane radiographic image, there generally is an important area of interest (AOI). Too often, the AOI is partially masked by images of other overlapping and underlying structures that may be in front of or behind the AOI. An important adjunct to radiological diagnosis would be the capability of eliminating images of such masking structures to isolate the AOI for more detailed examination.