TY - JOUR
T1 - Lossless compression of color filter array mosaic images with visualization via JPEG 2000
AU - Herńandez-Cabronero, Miguel
AU - Marcellin, Michael W.
AU - Blanes, Ian
AU - Serra-Sagrista, Joan
N1 - Funding Information:
Manuscript received November 28, 2016; revised May 3, 2017 and July 10, 2017; accepted August 2, 2017. Date of publication August 17, 2017; date of current version January 17, 2018. This work was supported in part by the FEDER, in part by the Spanish Government (MINECO), and in part by the Catalan Government under Project TIN2015-71126-R, Project TIN2012-38102-C03-03, Project FPU AP2010-0172, and Project 2014SGR-691. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Lingfen Sun. (Corresponding author: Miguel Hernández-Cabronero.) M. Hernández-Cabronero, I. Blanes, and J. Serra-Sagristà are with the Univer-sitat Autònoma de Barcelona, Bellaterra 08193, Spain (e-mail: mhernandez@ deic.uab.cat; ian.blanes@uab.cat; joan.serra@uab.cat).
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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.
KW - Bayer color filter array (cfa)
KW - Color filter arrays
KW - Image compression
KW - Jpeg 2000
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U2 - 10.1109/TMM.2017.2741426
DO - 10.1109/TMM.2017.2741426
M3 - Article
AN - SCOPUS:85028469889
SN - 1520-9210
VL - 20
SP - 257
EP - 270
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
IS - 2
M1 - 8012476
ER -