Digital Cameras: Definitions and Principles
Laurent Lucas
Search for more papers by this authorCéline Loscos
Search for more papers by this authorYannick Remion
Search for more papers by this authorLaurent Lucas
Search for more papers by this authorCéline Loscos
Search for more papers by this authorYannick Remion
Search for more papers by this authorLaurent Lucas
Search for more papers by this authorCéline Loscos
Search for more papers by this authorYannick Remion
Search for more papers by this authorSummary
This chapter provides a general overview of digital camera components required in three-dimensional (3D) processing and labeling. The authors study each stage of light transport via the camera's optics, before light is captured as an image by the sensor and stored in a given format. They introduce the fundamentals of light transport as well as notations for wavelength and color spaces, commonly used in imaging. They examine how cameras have been adapted to capture and transform into digital image and describe the details of different components in a camera and their influence on the final image. In particular, they provide a overview of different optical components and sensors, examining their advantages and limitations. They investigate the link between camera models and the human visual system in terms of perception, optics and color fidelity. Finally, two current camera techniques, high-dynamic-range (HDR) and hyperspectral imaging, are explored.
Bibliography
- [AGU 12] AGUERREBERE C., DELON J., GOUSSEAU Y. et al., Study of the digital camera acquisition process and statistical modeling of the sensor raw data, Report Instituto de Ingenieria Eléctrica (IIE), Paris, September 2012.
- [ATT 03] ATTAS M., CLOUTIS E., COLLINS C., et al., “Near-infrared spectroscopic imaging in art conservation: investigation of drawing constituents”, Journal of Cultural Heritage, vol. 4, pp. 127–136, 2003.
-
[BAN 11] BANTERLE F., ARTUSI A., DEBATTISTA K. et al., Advanced High Dynamic Range Imaging: Theory and Practice, AK Peters (CRC Press), Natick, MA, 2011.
10.1201/b11373 Google Scholar
- [BRE 10] BREMOND R., TAREL J.-P., DUMONT E. et al., “Vision models for image quality assessment: one is not enough”, Journal of Electronic Imaging, vol. 19, no. 4, pp. 1–14, 2010.
- [CIE 86] CIE, Colorimetry, CIE Pub. no. 15.2, Commission Internationale de l'Eclairage (CIE), Vienna, 1986.
- [CIE 98] CIE, The CIE 1997 interim colour appearance model (Simple Version), CIECAM97s, CIE Pub. no. 131, Commission Internationale de l'Eclairage (CIE), Vienna, 1998.
-
[DEB 97] DEBEVEC P.E., MALIK J., “Recovering high dynamic range radiance maps from photographs”, Proceedings of ACM Siggraph '97 (Computer Graphics), ACM, pp. 369–378, 1997.
10.1145/258734.258884 Google Scholar
- [DEC 97] DECUSATIS C., (ed.), Handbook of Applied Photometry, AIP Press, Springer, 1997.
- [EAS 10] EASTON R., KNOX K., CHRISTENS-BARRY W., et al., “Standardized system for multispectral imaging of palimpsests”, Proceedings of the SPIE, Computer Vision and Image Analysis of Art, SPIE, no. 75310D, pp. 1–11, 2010.
- [EST 79] ESTÉVEZ O., On the fundamental data-base of normal and dichromatic colour vision, PhD Thesis, University of Amsterdam, 1979.
- [FAI 91] FAIRCHILD M. D., “Formulation and testing of an incomplete-chromatic adaptation model”, Color Research and Application, vol. 16, no. 4, pp. 243–250, 1991.
- [FRA 10] FRANCE F. G., CHRISTENS-BARRY W., TOTH M. B. et al., “Advanced image analysis for the preservation of cultural heritage”, IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, SPIE, no. 75310E, pp. 1–11, 2010.
- [GRO 04] GROSSBERG M.D., NAYAR S.K., “Modeling the space of camera response functions”, IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 26, no. 10, pp. 1272–1282, October, 2004.
- [HUN 85] HUNT R.W.G., POINTER M.R., “A colour-appearance transform for the CIE 1931 standard colorimetric observer”, Color Research and Application, vol. 10, no. 3, pp. 165–179, 1985.
- [HUN 94] HUNT R.W.G., “An improved predictor of colourfulness in a model of colour vision”, Color Research and Application, vol. 19, no. 1, pp. 23–26, 1994.
- [ISO 07] ISO, ISO/20473:2007: Optics and Photonics — Spectral Bands, 2007.
- [JOH 02] JOHNSON T., “Methods for characterizing colour scanners and digital cameras”, inGREEN P., MACDONALD L.W., (eds), Colour Engineering, Achieving Device, Independent Colour, John Wiley & Sons Inc., Chichester, pp. 165–178, 2002.
- [KAI 09] KAINZ F., BOGART R., “Technical introduction to OpenEXR”, 2009. Available at http://www.openexr.com/index.html.
- [KIM 10] KIM S.J., ZHUO S., DENG F., et al., “Interactive visualization of hyperspectral images of historical documents”, IEEE Transactions on Visualization and Computer Graphics, vol. 16, no. 6, pp. 1441–1448, 2010.
- [KIT 10] KITTLE D., CHOI K., WAGADARIKAR A. et al., “Multiframe image estimation for coded aperture snapshot spectral imagers”, Applied Optics Opt., vol. 49, no. 36, pp. 6824–6833, 2010.
- [LI 08] LI X., GUNTURK B., ZHANG L., “Image demosaicing: a systematic survey” Visual Communications and Image Processing 2008, Proceedings of the SPIE, pp. 68221J–68221J–15, 2008.
- [LUO 96] LUO M.R., LO M.-C., KUO W.-G., “The LLAB (l:c) colour model”, Color Research and Application, vol. 21, no. 6, pp. 412–429, 1996.
- [MAN 95] MANN S., PICARD R.W., “Being undigital with digital cameras: extending dynamic range by combining differently exposed pictures”, Proceedings of IST 46th Annual Conference, Boston, Massachusetts, pp. 422–428, May 1994.
- [MIT 99] MITSUNAGA T., NAYAR S. K., “Radiometric self calibration”, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, pp. 374–380, June 1999.
- [MOR 02] MORONEY N., FAIRCHILD M.D., HUNT R.W.G., et al., “The CIECAM02 color appearance model”, Proceedings of the 10th IS&T Color Imaging Conference, IS&T, pp. 23–27, 2002.
- [MUL 30] MULLER G.E., “Über die Farbenempfindungen”, Z. Psychol., pp. Erganzungsbände 17 and 18, 1930.
- [NIC 67] NICODEMUS F.E., “Radiometry”, Applied Optics and Optical Engineering, vol. IV, Academic Press, New York, 1967.
- [PER 88] PÉROCHE B., La Synthèse d'Images, Hermès Science Publications, 1988.
- [RAP 05] RAPANTZIKOS K., BALAS C., “Hyperspectral imaging: potential in non-destructive analysis of palimpsests”, Proceedings of the 2005 International Conference on Image Processing, ICIP 2005, vol. 2, pp. II, 618–21, September 2005.
- [RAY 00] RAY S.F., “The Geometry of image formation”, in JACOBSON R., RAY S., ATTRIDGE G.G., AXFORD N. (eds), The Manual of Photography, 9th ed., Focal Press, Oxford, pp. 39–71, 2000.
-
[REI 08] REINHARD E., KHAN E.A., AKYZ A.O., et al., Color Imaging: Fundamentals and Applications, AK Peters, Ltd., 2008.
10.1201/b10637 Google Scholar
- [REI 10] REINHARD E., WARD G., PATTANAIK S., et al., High Dynamic Range Imaging: Acquisition, Display, and Image-based Lighting, 2nd ed. The Morgan Kaufmann series in Computer Graphics, Elsevier (Morgan Kaufmann), Burlington, MA, 2010.
- [SKO 11] SKORKA O., JOSEPH D., “Toward a digital camera to rival the human eye”, Journal of Electronic Imaging, vol. 20, no. 3, pp. 1–18, 2011.
-
[STI 59] STILES W.S., BURCH J.M., “NPL colour-matching investigation: final report”, Optica Acta, vol. 6, pp. 1–26, 1959.
10.1080/713826267 Google Scholar
- [VON 70] VON KRIES J., “Chromatic adaptation”, inMACADAM D.L., (ed.), Sources of Color Science, MIT Press, Cambridge, pp. 109–119, 1970.
-
[VOS 78] VOS J.J., “Colorimetric and photometric properties of a 2-deg fundamental observer”, Color Research and Application, vol. 3, pp. 125–128, 1978.
10.1002/col.5080030309 Google Scholar
-
[WAR 91] WARD G., “The LogLuv encoding for full gamut, high dynamic range images”, inARVO J., Ed., Graphics Gems II, Academic Press Inc., pp. 80–83, 1991.
10.1016/B978-0-08-050754-5.50025-6 Google Scholar
-
[WAR 98] WARD G., “The LogLuv encoding for full gamut, high dynamic range images”, Journal of Graphics Tools, vol. 3, no. 1, pp. 15–31, 1998.
10.1080/10867651.1998.10487485 Google Scholar
- [WAR 00] WARE G.A., CHABRIES D.M., CHRISTIANSEN R.W., et al., “Multispectral analysis of ancient Maya pigments: implications for the Naj Tunich Corpus”, IEEE Transactions, pp. 2489–2491, 2000.