Standard and Specific Compression Techniques for DNA Microarray Images

Algorithms

Miguel Hernández-Cabronero¹  Ian Blanes¹  Michael W. Marcellin¹ 

[1] ¹Department of Information and Communications Engineering, Building Q, Universitat Autònoma de Barcelona, Bellaterra, Cerdanyola del Vallès, 08193 Barcelona, Spain ²Department of Electrical and Computer Engineering, The University of Arizona, 1230 E Speedway Blvd, Tucson, AZ 85721-0104AZ, USA

关键词: microarray images;    microarray image compression;    image coding standards;    JPEG2000;   

DOI  :  10.3390/a5010030

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.