Abstract
We review the state of the art in DNA microarray image compression and provide original comparisons between standard and microarray-specific compression techniques that validate and expand previous work. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contribution, and then we summarize the compression results reported for these microarray-specific image compression schemes. In a set of experiments conducted for this paper, we obtain new results for several popular image coding techniques that include the most recent coding standards. Prediction-based schemes CALIC and JPEG-LS are the best-performing standard compressors, but are improved upon by the best microarray-specific technique, Battiato's CNN-based scheme.
Original language | English (US) |
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Pages (from-to) | 30-49 |
Number of pages | 20 |
Journal | Algorithms |
Volume | 5 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2012 |
Externally published | Yes |
Keywords
- Image coding standards
- JPEG2000
- Microarray image compression
- Microarray images
ASJC Scopus subject areas
- Theoretical Computer Science
- Numerical Analysis
- Computational Theory and Mathematics
- Computational Mathematics