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Modeling Visual Perception for Image Processing

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Computational and Ambient Intelligence (IWANN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4507))

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Abstract

This paper presents a model of the retina with its properties with respect to sampling, spatiotemporal filtering, color-coding and non-linearity, and their consequences on the processing of visual information. It’s formalism points out the architectural and algorithmic principles of neuromorphic circuits which are known to improve compactness, consumption, robustness and efficiency, leading to direct applications in engineering science. It’s biological aspect, strongly based neural and cellular descriptions makes it suitable as an investigation tool for neurobiologists, allowing the simulation of experiences difficult to set up and answering fundamental theoretical questions.

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References

  1. Alleysson, D., Herault, J.: Differential thresholds in colour perception: a consequence of retinal processing and photoreceptor non-linearities. In: ECVP 98, Oxford, UK (1998)

    Google Scholar 

  2. Alleysson, D., Süsstrunk, S., Hérault, J.: Linear Demosaicing Inspired by the Human Visual System. IEEE Trans. on Image Processing 14(4), 439–449 (2005)

    Article  Google Scholar 

  3. Alleysson, D.: Le Traitement Chromatique dans la Rétine: un Modèle de Base pour la perception Humaine des couleurs. Ph D Thesis, Université Joseph Fourier, Grenoble (1999)

    Google Scholar 

  4. Atick, J., Li, Z., Redlich, A.: Color coding and its interaction with spatiotemporal processing in the retina. Tech. report IASSNS-HEP-90/75, NYU-NN-90/3 (1990)

    Google Scholar 

  5. Attwell, D., Wilson, M., Wu, S.M.: A quatitative analysis of interactions between photoreceptors in the salamander (Ambystoma) retina. Journal of Physiology 352, 703–737 (1984)

    Google Scholar 

  6. Beaudot, W., Palagi, P., Herault, J.: Realistic Simulation Tool for Early Visual Processing including Space, Time and Colour Data. In: Mira, J., Cabestany, J., Prieto, A.G. (eds.) IWANN 1993. LNCS, vol. 686, pp. 370–375. Springer, Heidelberg (1993)

    Google Scholar 

  7. Beaudot, W.H.A.: Sensory coding in the vertebrate retina: Towards an adaptive control of visual sensitivity. Network: Computation in Neural Systems 7(2), 317–323 (1996)

    Article  MATH  Google Scholar 

  8. Billock, V.A.: Cortical simple cells can extract achromatic information from the multiplexed chromatic and achromatic signals in the parvocellular pathways. Vis. Res. 35, 2359–2369 (1995)

    Article  Google Scholar 

  9. Boahen, K.A.: Retinomorphic vision systems. IEEE Micro 16(5), 30–39 (1996)

    Article  Google Scholar 

  10. Bolduc, M., Levine, M.D.: A review of biologically-motivated space-variant data reduction models. Technical Report CIM 95-05, McGill Univ. Montreal, Quebec, Canada (1996)

    Google Scholar 

  11. Bouvier, G., Mahni, A., Herault, J.: A contrast / motion-sensitive silicon rétina. In: ESSIRC-95 (1995)

    Google Scholar 

  12. Calkins, D.J., Tsukamoto, Y., Sterling, P.: Microcircuitry and mosaic of a blue-yellow ganglion cell in the primate retina. Journal of Neuroscience 18, 3373–3385 (1998)

    Google Scholar 

  13. Calow, D., Krüger, N., Wörgötter, F., Lappe, M.: Biologically motivated space-variant filtering for robust optic flow processing. Computation in Neural Systems 16(4), 323–340 (2005)

    Article  Google Scholar 

  14. Curcio, C.A., Sloan, K.R., Kalina, R.E., Hendrickson, K.E.: Human photoreceptor topography. J. Comp. Neurol. 292, 497–523 (1990)

    Article  Google Scholar 

  15. Dacey, D.M.: The “blue-on” opponent pathway in primate retina originates from distinct bistratified ganglion cell type. Nature 367, 731–735 (1999)

    Article  Google Scholar 

  16. De Valois, R.L., De Valois, K.: Spatial Vision. Oxford University Press, New York (1990)

    Google Scholar 

  17. De Valois, R.L., De Valois, K.K.: A multi-stage color model. Vis. Res. 33, 1053–1065 (1993)

    Article  Google Scholar 

  18. Galvin, S.J., O’Shea, R.P., Squire, A.M., Govan, D.G.: Sharpness overconstancy in peripheral vision. Vision Research 37, 2035–2039 (1997)

    Article  Google Scholar 

  19. Goodchild, A.K., Ghosh, K.K., Martin, P.R.: Comparison of Photoreceptor Spatial Density and Ganglion Cell Morphology in the Retina of Human, Macaque Monkey, Cat, and the Marmoset Callithrix jacchus. J. of Comparative Neurology 366, 55–75 (1996)

    Article  Google Scholar 

  20. Hare, W.A., Owen, W.G.: Effect of 2-amino-4-phosphonobutyric acid on cells in the distal layers of the tiger salamander retina. Journal of Physiology 445, 741–757 (1992)

    Google Scholar 

  21. Herault, J.: A model of colour processing in the retina of vertebrates: from photoreceptors to colour opposition and colour constancy. Neurocomputing (1996)

    Google Scholar 

  22. Herault, J.: De la rétine biologique aux circuits neuromorphiques. In: Jolion, J.-M. (ed.) IC2, Les Systemes de Vision, Hermès, Paris (2001)

    Google Scholar 

  23. Jacobs, G.H.: Primate photopigments and primate color vision. Proceedings of the National Academy of Sciences of the USA 93, 577–581 (1996)

    Article  Google Scholar 

  24. Jameson, D., Hurvich, L.M.: Some quantitative aspects of an opponent-colors theory: I. Chromatic responses and spectral saturation. J. of Opt. Soc. of Amer. 45, 546–552 (1955)

    Google Scholar 

  25. Kamermans, M., Kraaji, D.A., Spekreise, H.: The cone/horizontal cell system: a possible site for color constancy. Visual Neuroscience 15, 787–797 (1998)

    Article  Google Scholar 

  26. Kamermans, M., Spekreise, H.: The feedback pathway from horizontal cells to cones, a mini review with a look ahead. Vision Research 39, 2449–2468 (1999)

    Article  Google Scholar 

  27. Mahowald, M.: An analog VLSI system for stereoscopic vision. Kluwer Academic Publishers, Kingston upon Thames (1994)

    Google Scholar 

  28. Marc, R.E., Sperling, H.G.: Chromatic organisation of primate cones. Science 196, 454–456 (1977)

    Article  Google Scholar 

  29. Maloney, L.T.: Exploratory vision: Some implications for retinal sampling and reconstruction. Technical Report N 8, Max-Planck-Institut, Tübingen, Germany (1994)

    Google Scholar 

  30. Marimont, D.H., Wandel, B.A.: Linear models of surface and illuminant spectra. Journal of Optical Society of America A 9, 1905–1913 (1992)

    Article  Google Scholar 

  31. Martinez-Uriegas, E.: Spatiotemporal multiplexing of chromatic and achromatic information in human vision. In: Human Vision and Electronic Imaging: Models, Methods and Applications. SPIE, vol. 1249 (1990)

    Google Scholar 

  32. Mead, C., Mahowald, M.A.: A silicon model of early visual processing. Neural Networks 1, 91–97 (1988)

    Article  Google Scholar 

  33. Roorda, A., Williams, D.R.: The arrangement of the three cone classes in the living human eye. Nature 397(6719), 520–522 (1999)

    Article  Google Scholar 

  34. Schnapf, J.L., Kraft, T.W., Nunn, B.J., Baylor, D.A.: Spectral sensitivity of primate photoreceptors. Visual Neuroscience 1, 255–261 (1988)

    Google Scholar 

  35. Smith, V.C., Pokorny, J.: Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm. Vision Research 15, 161–171 (1975)

    Article  Google Scholar 

  36. Smithson, H., Zaidi, Q.: Colour constancy in context: Roles for local adaptation and levels of reference. Journal of Vision 4, 693–710 (2004)

    Article  Google Scholar 

  37. Smirnakis, S.M., Berry, M.J., Warland, D.K., Bialek, W., Meister, M.: Adaptation of retinal processing to image contrast and spatial scale. Nature 386, 69–73 (1997)

    Article  Google Scholar 

  38. Tistarelli, M., Sandini, G.: On the advantages of polar and log-polar mapping for direct estimation of time-to-impact from optical flow. IEEE Trans. PAMI 1(14), 401–410 (1993)

    Google Scholar 

  39. Torralba, A.B., Herault, J.: An efficient neuromorphic analog network for motion estimation. IEEE Trans. on Circuits and Systems-I (Special Issue on Bio-Inspired Processors and CNNs for Vision) 46(2) (1999)

    Google Scholar 

  40. van Hateren, H.: A cellular and molecular model of response kinetics and adaptation in primate cones and horizontal cells. Journal of Vision, 331–347 (2005)

    Google Scholar 

  41. Verweij, J., Kamermans, M., Spekreise, H.: Horizontal cells feedback to cones by shifting the cone calcium-current activation range. Vision Research 36, 3943–3953 (1996)

    Article  Google Scholar 

  42. Yang, X.L., Wu, S.M.: Feedforward lateral inhibition in retinal bipolar cells: input-output relation of the horizontal cell-depolarising bipolar cell synapse. PNAS, USA 88, 3310–3313 (1991)

    Article  Google Scholar 

  43. Yellott Jr., J.I.: Spectral consequences of photoreceptor sampling in the rhesus retina. Science 221(4608), 382–385 (1983)

    Article  Google Scholar 

  44. Yu, Y.G., Lee, T.S.: Adaptive contrast gain control and information maximization. Neurocomputing 65-66, 111–116 (2005)

    Article  Google Scholar 

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Authors and Affiliations

  1. GIPSA-Lab, INPG, 46 Ave. Félix Viallet, 38000 Grenoble, France

    Jeanny Hérault & Barthélémy Durette

Authors
  1. Jeanny Hérault
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  2. Barthélémy Durette
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Francisco Sandoval Alberto Prieto Joan Cabestany Manuel Graña

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© 2007 Springer-Verlag Berlin Heidelberg

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Hérault, J., Durette, B. (2007). Modeling Visual Perception for Image Processing. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_80

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  • DOI: https://doi.org/10.1007/978-3-540-73007-1_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73006-4

  • Online ISBN: 978-3-540-73007-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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