JOURNAL ARTICLE

Lossless Image Compression Using Burrows Wheeler Transform (Methods and Techniques)

Abstract

The burrows-wheeler transform (BWT) is a combinatorial algorithm originally created for text compression such as bzip2, and that has been recently applied to image compression field. This paper focuses on the impact of compression scheme based on the combinatorial transform on high-level resolution medical images. It overviews the original scheme and some improvements that have been develop in post processing of BWT in this context. The performances of these techniques are compared and discussed. Moreover, considerations on the imagepsilas sizes and data formats are also considered.

Keywords:
Lossless compression Computer science Data compression Image compression Compression (physics) Context (archaeology) Lossy compression Scheme (mathematics) Algorithm Transform coding Computer vision Artificial intelligence Image processing Theoretical computer science Image (mathematics) Mathematics Discrete cosine transform

Metrics

9
Cited By
1.60
FWCI (Field Weighted Citation Impact)
22
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Numerical Methods and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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