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Development of Context-Sensitive Formulas to Obtain Constant Luminance Perception for a Foreground Object in Front of Backgrounds of Varying Luminance (2402.18288v1)

Published 28 Feb 2024 in cs.GR and cs.CV

Abstract: In this article, we present a framework for developing context-sensitive luminance correction formulas that can produce constant luminance perception for foreground objects. Our formulas make the foreground object slightly translucent to mix with the blurred version of the background. This mix can quickly produce any desired illusion of luminance in foreground objects based on the luminance of the background. The translucency formula has only one parameter; the relative size of the foreground object, which is a number between zero and one. We have identified the general structure of the translucency formulas as a power function of the relative size of the foreground object. We have implemented a web-based interactive program in Shadertoy. Using this program, we determined the coefficients of the polynomial exponents of the power function. To intuitively control the coefficients of the polynomial functions, we have used a B\'{e}zier form. Our final translucency formula uses a quadratic polynomial and requires only three coefficients. We also identified a simpler affine formula, which requires only two coefficients. We made our program publicly available in Shadertoy so that anyone can access and improve it. In this article, we also explain how to intuitively change the polynomial part of the formula. Using our explanation, users change the polynomial part of the formula to obtain their own perceptively constant luminance. This can be used as a crowd-sourcing experiment for further improvement of the formula.

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References (43)
  1. Edward H Adelson. 24 lightness perception and lightness illusions. In M. Gazzaniga, editor, The New Cognitive Neurosciences, pages 339–351. MIT Press, Cambridge, MA, 2000.
  2. David H. Foster. Color constancy. Vision Research, 51(7):674–700, 2011.
  3. Mark D. Fairchild. Color Appearance Models. John Wiley & Sons, 2013.
  4. An anchoring theory of lightness perception. Psychological Review, 106(4):795, 1999.
  5. Study Force. Checker-shadow illusion explained. https://www.youtube.com/watch?v=GALLMJxLvgA, 2020.
  6. The perception of shading and reflectance. Perception as Bayesian inference, 409:423, 1996.
  7. Recovering intrinsic scene characteristics. Comput. vis. syst, 2(3-26):2, 1978.
  8. Olivier Darrigol. A history of optics from Greek antiquity to the nineteenth century. OUP Oxford, 2012.
  9. Thomas S Kuhn. The structure of scientific revolutions. University of Chicago press, 1962.
  10. A Mark Smith. Ptolemy, alhazen, and kepler and the problem of optical images. Arabic sciences and philosophy, 8(1):9–44, 1998.
  11. Geoffrey N Cantor. Physical optics. In Companion to the History of Modern Science, pages 627–638. Routledge, 2006.
  12. Josef Albers. Homage to the square. https://en.wikiquote.org/wiki/Josef_Albers, 1949.
  13. Elaine de Kooning. Albers paints a picture. https://www.artnews.com/, November 1950.
  14. Kenneth D Forbus. Qualitative process theory. Artificial intelligence, 24(1):85–168, 1984.
  15. Wang Youyou. Qualitative Global Illumination of Mock-3D Scenes. PhD thesis, Texas A&M University, College Station, TX, 2014. Retrieved from http://oaktrust.library.tamu.edu/handle/1969.1/157921.
  16. Modeling the interaction of light between diffuse surfaces. ACM SIGGRAPH computer graphics, 18(3):213–222, 1984.
  17. Henri Gouraud. Continuous shading of curved surfaces. In Seminal Graphics: Pioneering efforts that shaped the field, pages 87–93. ACM Siggraph, 1998.
  18. Reflection from layered surfaces due to subsurface scattering. In Seminal Graphics Papers: Pushing the Boundaries, Volume 2, pages 279–288. ACM Siggraph, 2023.
  19. Poisson image editing. In Seminal Graphics Papers: Pushing the Boundaries, Volume 2, Republished in 2023, pages 577–582. ACM New York, NY, USA, 2003.
  20. Aseem Agarwala. Efficient gradient-domain compositing using quadtrees. ACM Transactions on Graphics (TOG), 26(3):94–102, 2007.
  21. Coordinates for instant image cloning. ACM Transactions on graphics (TOG), 28(3):1–9, 2009.
  22. Alan Gilchrist. Seeing black and white. Oxford University Press, 2006.
  23. Alan L Gilchrist. Perceived lightness depends on perceived spatial arrangement. Science, 195(4274):185–187, 1977.
  24. Alan L Gilchrist. When does perceived lightness depend on perceived spatial arrangement? Perception & Psychophysics, 28:527–538, 1980.
  25. Eye movements during perception of complex objects. Eye movements and vision, pages 171–211, 1967.
  26. The effect of background luminance on the brightness of flashes. Vision research, 9(9):1095–1110, 1969.
  27. Visual adaptation and retinal gain controls. Progress in retinal research, 3:263–346, 1984.
  28. The perception of luminosity on different backgrounds and in different illuminations. Perception, 23(9):991–1006, 1994.
  29. A simple model for intrinsic image decomposition with depth cues. In Proceedings of the IEEE international conference on computer vision, pages 241–248, 2013.
  30. Intrinsic image decomposition using optimization and user scribbles. IEEE transactions on cybernetics, 43(2):425–436, 2013.
  31. Learning intrinsic image decomposition from watching the world. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 9039–9048, 2018.
  32. Ground truth dataset and baseline evaluations for intrinsic image algorithms. In 2009 IEEE 12th International Conference on Computer Vision, pages 2335–2342. IEEE, 2009.
  33. A survey on intrinsic images: Delving deep into lambert and beyond. International Journal of Computer Vision, 130(3):836–868, 2022.
  34. Fruits, foliage and the evolution of primate colour vision. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 356(1407):229–283, 2001.
  35. The influence of culture: holistic versus analytic perception. Trends in cognitive sciences, 9(10):467–473, 2005.
  36. Culture, control, and perception of relationships in the environment. Journal of personality and social psychology, 78(5):943, 2000.
  37. The influence of culture on visual perception, volume 310. Bobbs-Merrill Indianapolis, 1966.
  38. Jan B Deregowski. Illusions, patterns, and pictures: A cross-cultural perspective. (No Title), 1980.
  39. An introduction to splines for use in computer graphics and geometric modeling. Morgan Kaufmann, 1995.
  40. Bézier and B-spline techniques, volume 6. Springer, 2002.
  41. Constant luminance perception program. https://www.shadertoy.com/view/XX23Dz, 2024.
  42. Circular average filtering and circular linear interpolation in complex color spaces, 2023.
  43. Projective holder-minkowski colors: A generalized set of commutative & associative operations with inverse elements for representing and manipulating colors, 2024.
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