The Discrete Hermite Transform is a relatively recent technique for signal and image processing. Early examples of applications of the Discrete Hermite Transform range from artifact removal from ballistocardiograms to a more pure signal processing application
such as two-dimensional correlation. As such, exploring the ability to use this technique for the compression of medical images could provide alternatives to current methods. Better or more simple methods will hopefully allow for the expansion
of the application to image compression hence reducing computer resources and increasing information sharing.
After applying wavelets and the Discrete Hermite Transform to a set of images,it was found that there is a signicant correlation among several of the test cases and through observation of images, that the discrete Hermite Transform compared favorably.