Construction of optimal wavelet basis for medical images
Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
A major problem associated with a `film-less hospital' is the amount of digital image data that is generated and stored. Image compression must be used to reduce the storage size. Most current image compression methods were developed for the compression of single images. A new compression that uses similar image set redundancy and minimal numbers of orthogonal features can be used to efficiently compress medical images. As presented in this paper, wavelet analysis, principal component analysis, and statistical recrimination can be successfully used to optimally denote image differences and achieve efficient similar set image compression for medical images.