Title | ||
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A lossless compression algorithm based on predictive coding for volumetric medical datasets |
Abstract | ||
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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 |
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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. | 1 | 1 | 0.41 |
Federico Simmross Wattenberg | 2 | 12 | 3.95 |
Carlos Alberola-López | 3 | 482 | 52.95 |