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Logarithmic Type Image Processing Framework for Enhancing Photographs Acquired in Extreme LightingFLOREA, C. , FLOREA, L.
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digital cameras, image processing image enhancement, linear algebra
image(27), processing(24), logarithmic(13), florea(9), vision(7), model(7), enhancement(7), systems(5), signal(5), range(5)
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About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 97 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02016
Web of Science Accession Number: 000322179400016
SCOPUS ID: 84878914251
The Logarithmic Type Image Processing (LTIP) tools are mathematical models that were constructed for the representation and processing of gray tones images. By careful redefinition of the fundamental operations, namely addition and scalar multiplication, a set of mathematical properties are achieved. Here we propose the extension of LTIP models by a novel parameterization rule that ensures preservation of the required cone space structure. To prove the usability of the proposed extension we present an application for low-light image enhancement in images acquired with digital still camera. The closing property of the named model facilitates similarity with human visual system and digital camera processing pipeline, thus leading to superior behavior when compared with state of the art methods.
|References|||||Cited By «-- Click to see who has cited this paper|
| J. S. Lim, "Two Dimensional Signal and Image Processing", Upper Saddle River, Prentice Hall, New Jersey, US, 1990.
 M. Jourlin, J. C. Pinoli, "A model for logarithmic image processing", Journal of Microscopy, vol. 149, no. 1, pp. 21- 35, 1988.
[CrossRef] [SCOPUS Times Cited 100]
 V. Patrascu, I. Voicu, "An algebraical model for gray level images", in: Proceedings of the Exhibition on Optimization of Electrical and Electronic Equipment, OPTIM, Brasov, Romania, pp. 809 - 812, 2000.
 C. Vertan, A. Oprea, C. Florea, L. Florea, "A pseudo-logarithmic framework for edge detection", in: J. B.-T.et al (Ed.), Advanced Concepts for Intelligent Vision Systems, Vol. 5259 of LNCS, Springer Verlag, pp. 637 - 644, 2008.
[CrossRef] [SCOPUS Times Cited 17]
 K. Panetta, E. Wharton, S. Agaian, "Human visual system-based image enhancement and logarithmic contrast measure", IEEE Transactions on Systems, Man, and Cybernetics - part B: Cybernetics, vol. 38, no. 1, pp. 174-188, 2008.
[CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 148]
 G. Deng, "A generalized logarithmic image processing model based on the Giga-vision sensor model", IEEE Transactions on Image Processing , vol. 21, no. 3, pp. 1406-1414, 2012.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 16]
 C. Florea, C. Vertan, L. Florea, A. Sultana, "Non-linear parametric derivation of contour detectors for cellular images", in: Proceedings of IEEE International Symposium on Signals, Circuits and Systems, ISSCS, Vol. 2, IEEE, Iasi, Romania, 2009, pp. 1 - 4.
[CrossRef] [SCOPUS Record]
 C. Florea, L. Florea, "A parametric non-linear algorithm for contrast based auto-focus", IEEE 7th International Conference on Intelligent Computer Communication and Processing, pp. 267 - 271, 2011.
[CrossRef] [SCOPUS Times Cited 4]
 A. V. Oppenheim, "Superposition in a class of non-linear system", Tech. rep., Research Laboratory of Electronics, M.I.T., Cambridge, U.S. 1965.
 A. V. Oppenheim, "Generalized superposition", Information and Control, vol.11, no. 5,6, pp. 528 - 536, 1967.
 J. Hefferon, "Linear Algebra", web edition, 2008, [Online] Available: Temporary on-line reference link removed - see the PDF document
 M. Jourlin, J. C. Pinoli, "Logarithmic image processing", Acta Stereologica, vol. 6, pp. 651 - 656, 1987.
 Q. Z. Wu, B. S. Jeng, "Background subtraction based on logarithmic intensities", Pattern Recognition Letters, vol. 23, no. 13, pp. 1529 - 1536, 2002.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 33]
 M. Jourlin, J. C. Pinoli, "Image dynamic range enhancement and stabilization in the context of the logarithmic image processing model", Signal Processing, vol. 41, no. 2, pp. 225 - 237, 1995.
[CrossRef] [Web of Science Times Cited 41] [SCOPUS Times Cited 51]
 G. Deng, L. W. Cahill, G. R. Tobin, "A study of logarithmic image processing model and its application to image enhancement", IEEE Transactions on Image Processing, vol. 4, no. 4, pp. 506 - 512, 1995.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 77]
 V. Patrascu, V. Buzuloiu, Color image enhancement in the framework of logarithmic models, in: Proceedings of the 8th IEEE International Conference on Telecommunications, Vol. 1, Bucharest, Romania, pp. 199- 204, 2001.
 J. C. Pinoli, J. Debayle, Logarithmic adaptive neighborhood image processing (lanip): Introduction, connections to human brightness perception, and application issues, EURASIP Journal on Advances in Signal Processing, vol. 1, 2007 article ID 36105,
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 11]
 G. Deng, "An entropy interpretation of the logarithmic image processing model with application to contrast enhancement", IEEE Transactions on Image Processing, vol. 18, no. 5, 1135 - 1140, 2009.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 44]
 C. Florea, C. Vertan, "Piecewise linear approximation of logaritmic image processing models for dynamic range enhancement", Scientific Bulletin of University Politehnica of Bucharest, vol. 71, no. 2 pp. 3 - 15, 2009.
 K. Panetta, Y. Zhou, S. Agaian, E. Wharton, "Parameterized logarithmic framework for image enhancement", IEEE Transactions on Systems, Man, and Cybernetics - part B: Cybernetics, vol. 41 no. 2, pp. 460 - 472, 2011.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 48]
 R. Ramanath, W. Snyder, Y. Yoo, M. Drew, "Color image processing pipeline: A general survey of digital still camera processing", IEEE Signal Processing Magazine, vol. 22 no. 1, pp. 34 - 43, 2005.
[CrossRef] [Web of Science Times Cited 111] [SCOPUS Times Cited 136]
 A. PH2.5-1960, "American standard method for determining speed of photographic negative materials (monochrome, continuous tone)", United States of America Standards Institute, 1960.
 R. Jacobson, S. Ray, G. G. Attridge, N. Axford, "Manual of Photography: Photographic and Digital Imaging", Focal Press, Oxford ; Boston, MA, 2000.
 J. Nakamura (Ed.), "Image sensors and signal processing for digital still cameras", Academic Division of T&F Informa, Taylor and Francis Group, Boca Raton, Florida, USA, 2006.
 Y. C. Chang, J. F. Reid, "RGB calibration for color image analysis in machine vision", IEEE Transactions on Image Processing, vol. 5 no. 10, pp. 1414-1422, 1996.
[CrossRef] [SCOPUS Times Cited 74]
 P. Debevec, J. Malik, "Recovering high dynamic range radiance maps from photographs", in: ACM SIGGRAPH Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, US, pp. 369-378, 1997.
 M. D. Grossberg, S. K. Nayar, "High dynamic range from multiple images: Which exposures to combine?", in: Proceedings of IEEE Workshop on Color and Photometric Methods in Computer Vision at ICCV, Nice, France, 2003.
 S. Mann, R. Picard, "Being ’undigital’ with digital cameras: Extending dynamic range by combining differently exposed pictures", in: Proceedings of IS&Ts 48th, Vol. 1, Washington D.C, US, pp. 422-428, 1995.
 T. Mitsunaga, S. K. Nayar, "Radiometric self calibration", in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Vol. 1, Ft. Collins, S.U.A, pp. 374-380, 1999.
 F. Xiao, J. Pincenti, G. John, K. Johnson, "Camera motion and mobile imaging", in: Proceedings of the SPIE-IST Electronic-Imaging, Vol. 6502, 2007.
[CrossRef] [Web of Science Times Cited 2]
 K. Sato, S. Ishizuka, A. Nikami, M. Sato, "Control techniques for optical image stabilizing system", IEEE Transactions on Consumer Electronics, vol. 39, no. 3, pp. 461 - 466, 1993.
[CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 75]
 F. Xiao, J. Pincenti, J. Farrell, "Camera motion and effective spatial resolution", in: Proceedings of International Congress of Imaging Science, Vol. 1, May, pp. 33-36, 2007.
 S. Perstel, E. Pozniansky, O. Meitav, "Camera optimization techniques that take camera and scene motion into account", US Patent, 7546026, 2007.
 C. Florea, F. Albu, C. Vertan, A. Drimbarean, "Logarithmic tools for in-camera image processing", in: Proceedings of 16th IET Irish Signals and Systems Conference, Galway, Ireland, pp. 394-399, 2008.
[CrossRef] [SCOPUS Record]
 F. Albu, E. Steinberg, A. Drimbarean, C. Florea, A. Zamfir, P. Corcoran, V. Poenaru, "Image processing method and apparatus", US Patent, 20080219581, 2008.
 M. Aguilar, W. Stiles, "Saturation of the rod mechanism of the retina at high levels of stimulation", Optica Acta, vol. 1 no. 11, pp. 59-65, 1954.
[CrossRef] [SCOPUS Times Cited 51]
 M. D. Grossberg, S. K. Nayar, "Modeling the space of camera response functions", IEEE Transactions on Pattern Analysis and Machine Inteligence, vol. 26, no.10, pp. 1272 -1282, 2004.
[CrossRef] [Web of Science Times Cited 89] [SCOPUS Times Cited 123]
 C. A. Poynton, "Rehabilitation of gamma", Proc. SPIE vol. 3299 no. 232,
 J. Stevens, S. Stevens, "Brightness functions: Effects of adaptation", Journal of the Optical Society of America, vol. 53, pp. 375-385, 1963.
 F. Dunn, M. Lankheet, and F. Rieke, "Light adaptation in cone vision involves switching between receptor and post-receptor sites", Nature, vol. 449, no. 7162, pp. 603-606, 2007.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 76]
 D. Hubel, "Eye, Brain, and Vision", Scientific American Library, 1995
 S. J. Russell, P. Norvig, "Artificial intelligence: a modern approach", Upper Saddle River, New Jersey: Prentice Hall, 2003.
 R. C. Gonzales, R. E. Woods, "Digital Image Processing", Addison Wesley, Reading, Massachusetts, US, 1992.
 R. Ferzli, L. J. Karam, "A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)", IEEE Transactions of Image Processing, vol. 19 no. 4, pp. 717 - 728, 2009.
[CrossRef] [Web of Science Times Cited 216] [SCOPUS Times Cited 309]
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