Lossless and near lossless compression of real color filter array data

Compression of Bayer pattern color filter array (CFA) data has gained a lot of attention during past years. Numerous algorithms have been proposed for lossless, near-lossless and lossy compression. The performance evaluation of compression methods is typically done only for artificial CFA data, obta...

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Veröffentlicht in:IEEE transactions on consumer electronics Jg. 54; H. 4; S. 1492 - 1500
Hauptverfasser: Bazhyna, A., Egiazarian, K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.11.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Arrays
Bayer pattern
Color
color filter array (CFA)
Compressing
Compression tests
Computer displays
digital camera
Digital cameras
Filters
Image coding
Image reconstruction
Image storage
Interpolation
Lossless
Lossless and near lossless compression
Performance evaluation
Raw
Roentgenium
Signal processing algorithms
ISSN:0098-3063, 1558-4127
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Zusammenfassung:Compression of Bayer pattern color filter array (CFA) data has gained a lot of attention during past years. Numerous algorithms have been proposed for lossless, near-lossless and lossy compression. The performance evaluation of compression methods is typically done only for artificial CFA data, obtained by sub-sampling full color images according to CFA pattern, without taking into account that CFA data are heavily processed before obtaining full color images. Therefore, some assumptions that are true for reconstructed images may not hold for real raw data. Thus, compression efficiency of different methods may vary. In this paper we evaluate the performance of some methods for lossless and near-lossless compression for real raw Bayer pattern CFA data obtained from digital cameras.
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ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2008.4711192