Prediction of medical images using wavelets

Rahman Tashakkori; John M. Tyler; Oleg S. Pianykh

doi:10.1117/12.381694

5 April 2000 Prediction of medical images using wavelets

Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh

Proceedings Volume 4056, Wavelet Applications VII; (2000) https://doi.org/10.1117/12.381694
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

There is a great amount of similarity in a set of medical images. Set Redundancy Compression (SRC) has shown that compression of a similar set of images can provide better compression than the compression obtained from compressing the individual images of the set. SRC is based on the prediction of the other images in the set from a smaller subset (this subset can be as small as one image). This paper presents a new wavelet based prediction method for prediction of the intermediate images in a similar set of medical images. The technique uses the correlation between coefficients in the wavelet transforms of the image set to produce a better image prediction compared to direct image prediction.

Citation Download Citation

Rahman Tashakkori, John M. Tyler, and Oleg S. Pianykh "Prediction of medical images using wavelets", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381694

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