Retrieving Extended High Dynamic Range from Digital Negative Image - An Experiment on Architectural Photo Imaging
The paper explores the development of an optimization of method and apparatus for retrieving extended high dynamic range from digital negative image. Architectural photo imaging can benefit from high dynamic range imaging (HDRI) technique for preserving and presenting sufficient luminance in the shadow and highlight clipping image areas. The HDRI technique that requires multiple exposure images as the source of HDRI rendering may not be effective in terms of time efficiency during the acquisition process and post-processing stage, considering it has numerous potential imaging variables and technical limitations during the multiple exposure process. This paper explores an experimental method and apparatus that aims to expand the dynamic range from digital negative image in HDRI environment. The method and apparatus explored is based on a single source of RAW image acquisition for the use of HDRI post-processing. It will cater the optimization in order to avoid and minimize the conventional HDRI photographic errors caused by different physical conditions during the photographing process and the misalignment of multiple exposed image sequences. The study observes the characteristics and capabilities of RAW image format as digital negative used for the retrieval of extended high dynamic range process in HDRI environment.
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Scottsdale.
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Automation in Construction, vol 5, no 5, pp. 379-391, 1997.
[1] M.D. Fairchild, and G.M. Johnson, "Meet iCAM: An Image Color
Appearance Model," in IS&T/SID 10th Color Imaging Conference, 2002,
Scottsdale.
[2] A. Adams, Examples: The Making of 40 Photographs. 1983, Little,
Brown & Co., Boston.
[3] A. Adams, The Negative. 1981, Little, Brown & Co., Boston.
[4] A. Adams, The Print. 1980, Little, Brown & Co., Boston.
[5] E. Reinhard, W. Heidrich, P. Debevec, S. Pattanaik, G. Ward, and K.
Myszkowski, High Dynamic Range Imaging (2nd Edition), Aaquisition,
Display, and Image-based lighting. 2010, ELSEVIER.
[6] P-Y. Lu. T-H. Huang, M-S. Wu,Y-T. Cheng, and Y-Y. Chuang, Y-Y,
"High dynamic range image reconstruction from hand-held cameras," in
2009 IEEE Conference on Computer Vision and Pattern Recognition,
Miami, USA.
[7] S. Lee, H-C. Wey, and S-D. Lee, "Image registration for multi-exposed
HDRI and motion deblurring," in Computational Imaging VII, 2009,
Korea.
[8] L. Nordeman, "Photography as a Research Method", 1997.
http://xroads.virginia.edu/%7Eug97/fsa/tool.html (accessed June 17,
2012).
[9] S.K. Bhavnani, "The retrieval of highly scattered facts and architectural
images: Strategies for search and design," in Automation in Construction,
vol. 14, no. 6, pp. 724-735, 2005.
[10] M.A. N├║├▒ez Andrés, and F. Buill Pozuelo, "Evolution of the architectural
and heritage representation," in Landscape and Urban Planning, vol. 91,
no. 2, pp. 105-112, 2009.
[11] Canon. (2012). Canon 5D mk III.
http://media.canon-asia.com/shared/live/products/EN/5DMarkIII%20Br
ochure.pdf (retrieved May 07, 2012).
[12] Nikon. (2012). Nikon Original Technology.
http://imaging.nikon.com/lineup/dslr/d800/features01.htm#a2 (retrieved
May 07, 2012).
[13] A.M. Andrew, "pixels and patterns a satellite-based investigation of
changes to urban features in Sanya Region," Unpublished doctoral
dissertation, University of Waterloo, Ontario, Canada, 2004.
[14] D. Bredemeyer, and R. Malan, "The role of the architect," 2002,
http://www.bredemeyer.com/pdf_files/role.pdf (retrieved June 03, 2012).
[15] H. Yoshida, and M. Omae, "An approach for analysis of urban
morphology: methods to derive morphological properties of city blocks
by using an urban landscape model and their interpretations," in
Computers, Environment and Urban Systems, vol. 29, no. 2, pp. 223-247,
2005.
[16] S. McGloughlin, "Multimedia Concepts," in Multimedia Concepts and
Practice. United States of America: Prentice Hall, 2001. pp.1-41.
[17] Adobe, "Digital Negative (DNG)," 2011,
http://www.adobe.com/products/dng/ (retrieved June 02, 2011).
[18] D. Nightingale, Practical HDR, Second Edition: A complete guide to
creating High Dynamic Range images with your Digital SLR. Focal Press,
2012.
[19] G. Ward, "High Dynamic Range Imaging," 2011,
http://www.pauldebevec.com/Research/HDR/Ward-HDRImaging-20010
521.pdf (accessed June 17, 2012).
[20] A. Rafi, M, Tinauli, and M. Izani, "High Dynamic Range Images:
Evolution, Applications and Suggested Processes," in Information
Visualization, 2007. IV '07. 11th International Conference. 2007.
[21] M.D. Fairchild, "The HDR photographic survey," in IS&T/SID 15th
Color Imaging Conference, Albuquerque, pp. 233-238, 2007.
[22] HDRsoft, "Photomatix Pro User Manual", 2010.
[23] A. Schulz, Architectural Photography: Composition, Capture, and
Digital Image Processing. Rocky Nook, 2012.
[24] J. Gulbins, Photographic Multishot Techniques: High Dynamic Range,
Super-Resolution, Extended Depth of Field, Stitching. Rocky Nook, 2009.
[25] P.E. Debevec, and J. Malik, "Recovering High Dynamic Range Radiance
Maps from Photographs," in SIGGRAPH, 1997. pp.369-378.
[26] G.W. Larson, H. Rushmeier, and C. Piatko, "A visibility matching tone
reproduction operator for high dynamic range scenes," in IEEE
Transactions on Visualization and Computer Graphics, 1997, vol 3, no.
4, pp. 291-326.
[27] NASA, "The Gateway to Astronaut Photography of Earth, Image Science
and Analysis Laboratory," NASA-Johnson Space Center, 2011,
http://eol.jsc.nasa.gov/sseop/metadata/Cameras/D3.htm (retrieved June
02, 2011).
[28] NASA, "Open Pit Mines, Southern Arizona," 2011,
http://earthobservatory.nasa.gov/IOTD/view.php?id=42555 (retrieved
June 02, 2011).
[29] M.K. Johnson, "Capturing Linear Images," 2009,
http://www.mit.edu/~kimo/blog/linear.html (retrieved Jun 01. 2011).
[30] Victoria and Albert Museum, "Sea and sky photographs by Gustave Le
Grey", 2012,
http://www.vam.ac.uk/content/articles/s/gustave-le-grey-exhibition/
[retrieved 27 July 2012]
[31] L. Rehm, "D3x In Depth Review", 2009,
http://www.dpreview.com/reviews/nikond3x (retrieved 01 December
2010)
[32] Imatest, "Imatest - Using Stepchart", 2012,
http://www.imatest.com/docs/q13/#dynamic (retrieved 27 July 2012)
[33] R. Gardner, "Digital Tones and Exposure Zones", 2004,
http://www.rags-int-inc.com/PhotoTechStuff/TonesnZones/ (retrieved 27
July 2012)
[34] Gakken Co, Mastering in RAW. 2008, Canon Singapore.
[35] H. Richard, Photographer's Guide to RAW in Photoshop. Future
Publishing, UK, 2010.
[36] G. Pellitteri, "A tool for a first analysis of architectural façades," in
Automation in Construction, vol 5, no 5, pp. 379-391, 1997.
@article{"International Journal of Information, Control and Computer Sciences:64376", author = "See Zi Siang and Khairul Hazrin Hashim and Harold Thwaites and Lee Xia Sheng and Ooi Wooi Har", title = "Retrieving Extended High Dynamic Range from Digital Negative Image - An Experiment on Architectural Photo Imaging", abstract = "The paper explores the development of an optimization of method and apparatus for retrieving extended high dynamic range from digital negative image. Architectural photo imaging can benefit from high dynamic range imaging (HDRI) technique for preserving and presenting sufficient luminance in the shadow and highlight clipping image areas. The HDRI technique that requires multiple exposure images as the source of HDRI rendering may not be effective in terms of time efficiency during the acquisition process and post-processing stage, considering it has numerous potential imaging variables and technical limitations during the multiple exposure process. This paper explores an experimental method and apparatus that aims to expand the dynamic range from digital negative image in HDRI environment. The method and apparatus explored is based on a single source of RAW image acquisition for the use of HDRI post-processing. It will cater the optimization in order to avoid and minimize the conventional HDRI photographic errors caused by different physical conditions during the photographing process and the misalignment of multiple exposed image sequences. The study observes the characteristics and capabilities of RAW image format as digital negative used for the retrieval of extended high dynamic range process in HDRI environment.
", keywords = "High Dynamic Range Image, Photography Workflow
Optimization, Digital Negative Image, Architectural Image", volume = "6", number = "8", pages = "1072-9", }
