Title
A lossless compression algorithm based on predictive coding for volumetric medical datasets
Abstract
In this paper, a novel lossless compression method for volumet- ric medical datasets based on 3D adaptive prediction is presented. While almost all existing methods are based on a three-dimensional wavelet transform, this method, referred to as LSE-3D, evaluates the performance of an algorithm that operates on a least-square pre- diction basis. This leads to a different method with approximately similar results on compression performance, although with some advantages on computational cost.
Year
Venue
Keywords
2005
EUSIPCO
data compression,image coding,least squares approximations,medical image processing,wavelet transforms,3d adaptive prediction,lse-3d,compression performance,computational cost,least-square prediction,lossless compression algorithm,performance evaluation,predictive coding,three-dimensional wavelet transform,volumetric medical datasets
Field
DocType
ISBN
Lossless JPEG,Pattern recognition,Lossy compression,Computer science,Golomb coding,Prediction by partial matching,Artificial intelligence,Data compression,Context-adaptive binary arithmetic coding,Lossless compression,Wavelet transform
Conference
978-160-4238-21-1
Citations 
PageRank 
References 
1
0.41
6
Authors
3
Name
Order
Citations
PageRank
Diez-Garcia, M.110.41
Federico Simmross Wattenberg2123.95
Carlos Alberola-López348252.95