Abstract
Visual psychophysics is a scientific area concerned with developing a complete understanding of how it works: from the physical input (the light flux entering the eye) to the output (the subjective image that we perceive). There are many aspects like brightness, contrast, color, shape, shading and texture. At the lowest level, from the eye to the primary visual cortex, which includes the retina, lateral geniculate nucleus (LGN) and even the first layers in the cortex, the processing done is already quite complex and our knowledge is still far from complete. There is substantial evidence that there is a very early organization in terms of “what” and “where” systems, which starts already in the retina and continues through the LGN to cortical areas. The parvo pathway is slow but handles high spatial frequencies (what) whereas the magno pathway is concerned with temporal transients and low spatial frequencies (where).
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References
Blommaert, F.J.J. and Martens, J.-B. (1990) An object-oriented model for brightness perception. Spatial Vision, 5: 15–41.
du Buf, J.M.H. (1987) Spatial characteristics of brightness and apparent-contrast perception. PhD thesis, Eindhoven Techn. Univ., The Netherlands.
du Buf, J.M.H. (1992a) Brightness versus apparent contrast 1: Incremental and decremental disks with varying diameter. Spatial Vision, 6: 159–182.
du Buf, J.M.H. (1992b) Brightness versus apparent contrast 3: Blurred disks and concentric cosine gratings. Spatial Vision, 6: 265–284.
du Buf, J.M.H. (1992c) Modeling spatial vision at the threshold level. Spatial Vision, 6: 25–60.
du Buf, J.M.H. (1993) Responses of simple cells: events, interferences, and ambiguities. Biol. Cybernet., 68: 321–333.
du Buf, J.M.H. (1994) Ramp edges, Mach bands, and the functional significance of the simple cell assembly. Biol. Cybernet., 70: 449–461.
du Buf, J.M.H. and Fischer, S. (1995) Modeling brightness perception and syntactical image coding. Optical Engineering, 34: 1900–1911.
Daly, S. (1993) The visible differences predictor: an algorithm for the assessment of image fidelity. In: Digital Images and Human Vision, A.B. Watson (ed), MIT Press.
van Deemter, J.H. and du Buf, J.M.H. (2000) Simultaneous detection of lines and edges using compound Gabor filters. Int. J. Pattern Recogn. and Artificial Intell., 14: 757–777.
Gilbert, C.D. (1998) Adult cortical dynamics. Physiol. Rev., 78: 467–485.
Hauske, G., Wolf, W. and Lupp, U. (1976) Matched filters in human vision. Biol. Cybernet., 22: 181–188.
Heitger, F. et al. (1998) Simulation of neural contour mechanisms: representing anomalous contours. Image and Vision Comp., 16: 407–421.
Meinhardt, G. and Mortensen, U. (1998) Detection of aperiodic test patterns by pattern specific detectors revealed by subthreshold summation. Biol. Cybernet., 79: 413–425.
Meinhardt, G. (1999) Evidence for different nonlinear summation schemes for lines and gratings at threshold. Biol. Cybernet., 81: 263–277.
Pessoa, L. (1996) Mach bands: how many models are possible? Recent experimental findings and modeling attempts. Vision Res., 36: 3205–3227.
Schouten, G. (1993) Luminance-brightness mapping: the missing decades. PhD thesis, Eindhoven Techn. Univ., The Netherlands.
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© 2001 Springer Science+Business Media Dordrecht
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du Buf, H. (2001). Modeling Brightness Perception. In: van den Branden Lambrecht, C.J. (eds) Vision Models and Applications to Image and Video Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3411-9_2
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DOI: https://doi.org/10.1007/978-1-4757-3411-9_2
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