Lossless compression of color filter array mosaic images with visualization via JPEG 2000
Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering)
Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)

Data:	2018
Resum:	Digital cameras have become ubiquitous for amateur and professional applications. The raw images captured by digital sensors typically take the form of color filter array (CFA) mosaic images, which must be "developed" (via digital signal processing) before they can be viewed. Photographers and scientists often repeat the "development process" using different parameters to obtain images suitable for different purposes. Since the development process is generally not invertible, it is commonly desirable to store the raw (or undeveloped) mosaic images indefinitely. Uncompressed mosaic image file sizes can be more than 30 times larger than those of developed images stored in JPEG format. Thus, data compression is of interest. Several compression methods for mosaic images have been proposed in the literature. However, they all require a custom decompressor followed by development-specific software to generate a displayable image. In this paper, a novel compression pipeline that removes these requirements is proposed. Specifically, mosaic images can be losslessly recovered from the resulting compressed files, and, more significantly, images can be directly viewed (decompressed and developed) using only a JPEG 2000 compliant image viewer. Experiments reveal that the proposed pipeline attains excellent visual quality, while providing compression performance competitive to that of state-of-the-art compression algorithms for mosaic images.
Ajuts:	Ministerio de Economía y Competitividad TIN2015-71126-R Ministerio de Economía y Competitividad TIN2012-38102-C03-03 Ministerio de Economía y Competitividad FPU AP2010-0172 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014/SGR-691
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Image coding ; Image color analysis ; Transform coding ; Sensor arrays ; Visualization ; Interpolation ; Software
Publicat a:	IEEE transactions on multimedia, Vol. 20, issue 2 (Feb. 2018) , p. 257-270, ISSN 1520-9210

DOI: 10.1109/TMM.2017.2741426

Postprint 15 p, 5.1 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Enginyeries > Group on Interactive Coding of Images (GICI)
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