High-dynamic-range image reproduction methods

IEEE Transactions on Instrumentation and Measurement

Volumn 56, Issue 4, 2007, Pages 1465-1472

  Várkonyi Kóczy, Annamária R ^a   Rövid, András ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

Anchoring; Fuzzy reasoning; High dynamic range images; Image processing; Image reproduction; Lightness perception; Segmentation; Tone reproduction

Indexed keywords

FUZZY REASONING; IMAGE REPRODUCTION; LIGHTNESS PERCEPTION; TONE REPRODUCTION;

ALGORITHMS; FUZZY SYSTEMS; IMAGE QUALITY; IMAGE SEGMENTATION; LIGHTING; SIGNAL DISTORTION;

IMAGE PROCESSING;

EID: 34547887199     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2007.899923     Document Type: Article

References (14)

1. F. Russo, "Recent advances in fuzzy techniques for image enhancement," IEEE Trans. Instrum. Meas., vol. 47, no. 6, pp. 1428-1434, Dec. 1998.
2. E. H. Adelson and A. P. Pentland, "The perception of shading and reflectance," in Perception as Bayesian Inference, D. Knill andW. Richards, Eds. New York: Cambridge Univ. Press, 1996, pp. 409-423.
3. E. H. Adelson, "Lightness perception and lightness illusions," in The Cognitive Neurosciences, 2nd ed. Cambridge, MA: MIT Press, 2000, pp. 339-351.
4. S. Palmer, "Vision science: Photons to phenomenology," in Surface-Based Color Processing. Cambridge, MA: MIT Press, 1999, ch. 3.3.
5. A. Scheel, M. Stamminger, and H.-P. Seidel, "Tone reproduction for interactive walkthroughs," in Proc. EUROGRAPHICS, Saabreucken, Germany, 2000, vol. 19, no. 3, pp. 301-311.
6. S. Kawahito, "An ultimate dynamic range imaging device - From star light to sun light," in Proc. Inter-Academia, Wuppertal, Germany, Sep. 19-22, 2005, vol. 1, pp. 105-113.
7. E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, "Photographic tone reproduction for digital images," in Proc. 29th Annu. Conf. Comput. Graph. Interactive Tech., San Antonio, TX, 2002, pp. 267-276.
8. A. R. Várkonyi-Káczy, A. Rövid, and P. Várlaki, "Fuzzy based brightness compensation for high dynamic range images," in Proc. 9th IEEE Int. Conf. INES, Sep. 16-19, 2005, pp. 245-248.
9. A. Ukovich, G. Impoco, and G. Reamponi, "A tool based on the co-occurance matrix to measure the performance of dynamic range reduction algorithms," in Proc. IEEE Int. Workshop IST, May 13, 2005, pp. 36-41.
10. A. Gilchrist, C. Kossyfidis, F. Bonato, T. Agostini, J. Cataliotti, X. Li, B. Spehar, V. Annan, and E. Economou, "An anchoring theory of lightness perception," Psychol. Rev., vol. 106, no. 4, pp. 795-834, Oct. 1999.
11. M. E. Rudd and I. K. Zemach, "The highest luminance anchoring rule in lightness perception," J. Vis., vol. 3, no. 9, p. 56a, 2003.
12. J. Theiler and G. Gisler, "A contiguity-enhanced k-means clustering algorithm for unsupervised multispectral image segmentation," Proc. SPIE, vol. 3159, pp. 108-118, 1997.
13. G. Krawczyk, K. Myszkowski, and H. P. Seidel, "Lightness perception in tone reproduction for high dynamic range images," in Proc. EUROGRAPHICS, 2005, pp. 635-645. (Computer Graphics Forum, vol. 24).
14. A. R. Várkonyi-Káczy and A. Rövid, "High dynamic range image reproduction methods," in Proc. IEEE IMTC, Sorrento, Italy, Apr. 24-27, 2006. CD-ROM.