Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000
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Lossless_compression_of_CFA_im ...
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4.446Mb
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Description:
Final Accepted Manuscript
Citation
Hernandez-Cabronero, M., Marcellin, M. W., Blanes, I., & Serra-Sagrista, J. (2018). Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000. IEEE Transactions on Multimedia, 20(2), 257-270.Journal
IEEE TRANSACTIONS ON MULTIMEDIARights
© 2017 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.ISSN
1520-92101941-0077
Version
Final accepted manuscriptSponsors
FEDER; Spanish Government (MINECO); Catalan Government [TIN2015-71126-R, TIN2012-38102-C03-03, FPU AP2010-0172, 2014SGR-691]Additional Links
http://ieeexplore.ieee.org/document/8012476/ae974a485f413a2113503eed53cd6c53
10.1109/TMM.2017.2741426