Smoothing Algorithm that Preserves Structures of Astronomical X-ray Data

Eli Bressert (Chandra X-ray Center) , Kim Kowal Arcand (Chandra X-ray Center), Peter Edmonds (Chandra X-ray Center)

We have processed numerous X-ray data sets using several well-known algorithms such as Gaussian and adaptive smoothing for public related image releases. These algorithms are used to smooth images and retain the overall structure of observed objects. Recently, a new PDE algorithm and program, provided by Dr. David Tschumperle and referred to as GREYCstoration, has been tested and is in the progress of being implemented into the Chandra EPO imaging group. Results of GREYCstoration will be presented and compared to the currently used methods for X-ray images. What demarcates Tschumperle's algorithm from the current algorithms used by the EPO imaging group is its ability to preserve the main structures of an image strongly, while optimizing the image for visual analysis. In addition to smoothing images, GREYCstoration can be used to erase artifacts accumulated during observation and mosaicking stages. GREYCstoration produces results that are comparable and in some cases more preferable than the current smoothing algorithms. From our early stages of testing, the results of the new algorithm will provide insight on the algorithm's capabilities and its potential uses for future applications and images.