JOURNAL ARTICLE

A new multiresolution predictive scheme for lossless compression of medical images

Abstract

This paper introduces a new multiresolution predictive scheme for lossless compression of medical images. The proposed scheme consists of three successive steps: namely, multiresolution decomposition, hierarchical interpolation and predictive coding using two-dimensional multiplicative autoregressive models. The performance of the proposed technique is compared with three alternative techniques: namely, difference pyramid (DP), reduced difference pyramid (RDP) and hierarchical interpolation (HINT) method. The experimental results indicate that the proposed scheme achieves significantly higher compression compared to the other techniques considered.< >

Keywords:
Lossless compression Data compression Autoregressive model Interpolation (computer graphics) Pyramid (geometry) Predictive coding Computer science Multiplicative function Artificial intelligence Algorithm Scheme (mathematics) Multiresolution analysis Image compression Compression (physics) Coding (social sciences) Pattern recognition (psychology) Mathematics Image processing Image (mathematics) Wavelet transform Statistics Wavelet

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.18
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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