Progressive lossy-to-lossless compression of DNA microarray images
Hernández-Cabronero, Miguel
Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Pinho, Armando J. (University of Aveiro. Signal Processing Laboratory)
Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering)
Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Fecha:	2016
Resumen:	The analysis techniques applied to DNA microarray images are under active development. As new techniques become available, it will be useful to apply them to existing microarray images to obtain more accurate results. The compression of these images can be a useful tool to alleviate the costs associated to their storage and transmission. The recently proposed Relative Quantizer (RQ) coder provides the most competitive lossy compression ratios while introducing only acceptable changes in the images. However, images compressed with the RQ coder can only be reconstructed with a limited quality, determined before compression. In this work, a progressive lossy-to-lossless scheme is presented to solve this problem. First, the regular structure of the RQ intervals is exploited to define a lossy-to-lossless coding algorithm called the Progressive RQ (PRQ) coder. Second, an enhanced version that prioritizes a region of interest, called the PRQ-region of interest (ROI) coder, is described. Experiments indicate that the PRQ coder offers progressivity with lossless and lossy coding performance almost identical to the best techniques in the literature, none of which is progressive. In turn, the PRQ-ROI exhibits very similar lossless coding results with better rate-distortion performance than both the RQ and PRQ coders.
Ayudas:	Ministerio de Economía y Competitividad FPU/AP2010-0172 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691 Ministerio de Economía y Competitividad TIN2012-38102-C03-03
Nota:	Pertany al grup de recerca: Group on Interactive Coding of Images
Derechos:	Tots els drets reservats.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió acceptada per publicar
Materia:	DNA microarray images ; Image compression ; Quantization
Publicado en:	IEEE signal processing letters, Vol. 23, Issue 5 (May 2016) , p. 698-702, ISSN 1070-9908

DOI: 10.1109/LSP.2016.2547893

Post-print 5 p, 1.1 MB

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Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ingeniería > Group on Interactive Coding of Images (GICI)
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