Single-band amplitude demodulation of Müller-Lyer Illusion images

Spanish Journal of Psychology

Volumn 10, Issue 1, 2007, Pages 3-19

  Sierra Vázquez, Vicente ^a,c   Serrano Pedraza, Ignacio ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b UNIVERSITY OF NEWCASTLE   (Australia)

^c Campus de Somosaguas   (Spain)

Author keywords

Amplitude demodulation; AMPM algorithm; DESA; M ller Lyer; Visual optical illusions

Indexed keywords

EID: 34248520641     PISSN: 11387416     EISSN: 19882904     Source Type: Journal    
DOI: 10.1017/S1138741600006272     Document Type: Article

References (49)

1. Bergen, J.R., & Adelson, E.H. (1988). Early vision and texture perception. Nature, 333, 363-364.
2. Bovik, A.C., Clark, M., & Geisler, W.S. (1990). Multichannel texture analysis using localized spatial filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 55-73.
3. Bovik, A.C., Gopal, N., Emmoth, T., & Restrepo (Palacios), A. (1992). Localized measurement of emergent image frequencies by Gabor wavelets. IEEE Transactions on Information Theory, 38, 691-712.
4. Boring, E.G. (1942). Sensation and perception in the history of experimental psychology. New York: Appleton-Century-Crofts.
5. nd ed.).New York: McGraw-Hill.
6. Brentano, F. (1892). Über ein optisches Paradoxen. Zeitschrift für Psychologie, 3, 349-358.
7. th Conference on Computer Analysis of Images and Patterns, Ljubljana (Vol. 1689 of LNCS, pp. 25-32). Berlin: Springer-Verlag.
8. Carlson, C.R., Moeller, J.R., & Anderson, C.H. (1984). Visual illusions without low spatial frequencies. Vision Research, 24, 1407-1413.
9. Carrasco, M., Figueroa, J.G., & Willen, J.D (1986). A test of the spatial-frequency explanation of the Müller-Lyer illusion. Perception, 15, 553-562.
10. Coren, S., & Girgus, J.S. (1978). Visual illusions. In R. Held, H.W. Leibowitz, & H.-L. Teuber (Eds.), Handbook of sensory physiology. Vol VIII. Perception (pp. 551-568). Berlin: Springer-Verlag.
11. Chubb, C., & Landy, M.S. (1991). Orthogonal distribution analysis: A new approach to the study of texture perception. In M.S. Landy & J.A. Movshon (Eds.), Computational models of visual processing (pp. 291-301). Cambridge, MA: MIT Press.
12. Daugman, J.G., & Downing, C.J. (1993). Demodulation: A new approach to texture vision. In L.H. Harris & M. Jenkin (Eds.), Spatial vision in human and robots (pp. 63-87). Cambridge, UK. Cambridge University Press.
13. Daugman, J.G., & Downing, C.J. (1995). Demodulation, predictive coding, and spatial vision. Journal of the Optical Society of America A, 4, 641-660.
14. Felsberg, M., & Sommer, G. (2001). The monogenic signal. IEEE Transactions on Signal Processing, 49, 3136-3144.
15. García-Pérez, M.A. (1991). Visual phenomena without low spatial frequencies: A closer look. Vision Research, 31, 1647-1653.
16. Ginsburg, A.P. (1978). Visual information processing based on spatial filters constrained by biological data. Technical Report AMRL-TR-78-129. Vol I & II. Aerospace Medical Research Laboratory. Dayton, OH: Wright Patterson Air Force Base.
17. Ginsburg, A.P. (1986). Spatial filtering and visual form perception. In K. Boff, L. Kauffman, & J.P. Thomas (Eds.), Handbook of perception and human performance. Vol II. Cognitive processes and performance (pp. 34.1-34.41). New York: Wiley.
18. nd ed.). Belmont, CA: Wadsworth.
19. th ed.). Oxford, UK: Oxford University Press.
20. Hartmann, W.M. (1998). Signals, sound, and sensation. New York: Springer-Verlag.
21. Havlicek, J.P. (1996). AM-FM image models. http://www.ece.utexas.edu/ *bevans/courses/ee381k/lectures/am_fm_models/AM_FM_Image_Models.pdf.
22. Havlicek, J.P., & Bovik, A.C. (2000). Image modulation models.. In A.C. Bovick (Ed.), Handbook of image and video processing (pp. 313-324). New York: Academic Press.
23. Heymans, G. (1896). Quantitative Untersuchungen über das "optische Paradoxon". Zeitschrift für Psychologie, 9, 221-255.
24. Kaiser, J.F. (1990). On a simple algorithm to calculate the energy of a signal. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, April, 381-384.
25. Landy, M. S., & Oruç, I. (2002). Properties of second-order spatial frequency channels. Vision Research, 42, 2311-2329.
26. Loughlin, P.J., & Tacer, B. (1996). On the amplitude- and frequency-modulation decomposition of signals. Journal of Acoustical Society of America, 100, 1594-1601.
27. Malik, J., & Perona, P. (1990). Preattentive texture discrimination with early vision mechanisms. Journal of the Optical Society of America A, 7, 923-932.
28. Maragos, P., & Bovik, A.C. (1995). Image demodulation using multidimensional energy separation. Journal of the Optical Society of America A, 12, 1867-1876.
29. Maragos, P., Kaiser, J.F., & Quatieri, T.F. (1993). On amplitude and frequency demodulation using energy operators. IEEE Transactions on Signal Processing, 41, 1532-1550.
30. Morrone, M.C., & Burr, D.C. (1988). Feature detection in human vision: A phase-dependent energy model. Proceedings of the Royal Society, London, B, 235, 221-245.
31. Müller-Lyer, F.C. (1889). Optische Urtheilstäuschungen. Archiv für Anatomie und Physiologie, Physiologische Abteilung 2 (Suppl.), 263-270.
32. Müller-Lyer, F.C. (1896). Zur Lehre von den optischen Täuschungen. Über Kontrast und Konfluxion. Zeitschrift für Psychologie, 9, 1-16.
33. NAG (1991). NAG Fortran Library manual-Mark 15. Oxford: Numerical Algorithm Group.
34. Oppenheim, A.V., & Lim, J.S. (1981). The importance of phase in signals. Proceedings of the IEEE, 69, 529-541.
35. Papoulis, A. (1962). The Fourier integral and its applications. New York: McGraw-Hill.
36. Peli, E. (1992). Perception and interpretation of high-pass filtered images. Optical Engineering, 31, 74-81.
37. Piotrowski, L.N., & Campbell, F.W. (1982). A demonstration of the visual importance and flexibility of spatial-frequency amplitude and phase. Perception, 11, 337-356.
38. Robinson, J.O. (1972). The psychology of visual illusion. London: Hutchinson University Library.
39. Schofield, A.J. (2000). What does second order-vision see in an image? Perception, 29, 1071-1086.
40. Schofield, A.J., & Georgeson, M.A. (2003). Sensitivity to contrast modulation: The spatial frequency dependence of second-order vision. Vision Research, 43, 243-259.
41. rd ed). New York: McGraw-Hill.
42. Skottun, B.C. (2000). Amplitude and phase in the Müller-Lyer illusion. Perception, 29, 201-209.
43. Sierra-Vázquez, V., & García-Pérez, M.A. (1995). Psychophysical 1-D wavelet analysis and the appearance of visual contrast illusions. IEEE Transactions on Systems, Man, and Cybernetics, 25, 1424-1433.
44. th European Mathematical Psychology Group Meeting (abstract). Madrid,
45. Sierra-Vázquez, V., & Serrano-Pedraza, I. (2004). Riesz transforms for the isotropic envelope estimation of Müller-Lyer illusion images. Perception (Suppl.), 33, 81 (abstract).
46. Sierra-Vázquez, V., & Serrano-Pedraza, I. (2006, August). Application of Riesz transforms to AM-PM decomposition of geometrical optical illusions images. International Congress of Mathematicians, Madrid. Abstracts, 178.
47. Smith, Z.M., Delgutte, B., & Oxenham, A.J. (2002). Chimaeric sounds reveal dichotomies in auditory perception. Nature, 416, 87-90.
48. Tadmor, Y., & Tolhurst, D.J. (1993). Both the phase and the amplitude spectrum may determine the appearance of natural images. Vision Research, 33, 141-145.
49. Vakman, D.E. (1972). On the definition of concepts of amplitude, phase, and instantaneous frequency of a signal. Radio Engineering and Electronics Physics, 17, 754-759.