A parsimonious model of brightness induction
- 102 Downloads
We present a parsimonious model of brightness induction which can account for various brightness illusions of both brightness-contrast and brightness-assimilation types. Our model is based on a difference of difference-of-Gaussian filter and a two-pass model of attentive vision based on the parallel channels in the central visual pathway. It overcomes some of the problems that could not be addressed by the well-known oriented difference of Gaussian model like those associated with Mach band and checkerboard illusions. This model attempts to provide insight to the mechanism of attention in brightness perception through the two major complimentary visual channels, viz. the magnocellular and the parvocellular.
KeywordsBrightness perception Computational model Visual pathways
We express our sincere gratitude to Alan Robinson for providing us with the code of his implementation of the ODOG filter (Robinson et al. 2007a, b) whose outputs have been shown above, and with which they compared their own FLODOG filter. Ashish Bakshi would like to thank the Council of Scientific and Industrial Research (CSIR) for providing financial support to him which enabled him to perform this work.
- De Valois RL, De Valois KK (1988) Spatial vision. Oxford University Press, New YorkGoogle Scholar
- Ghosh K, Pal SK (2010) Some insights into brightness perception of images in the light of a new computational model of figure-ground segregation. IEEE Trans SMC-A 40(4):758–766Google Scholar
- Ghosh K, Sarkar S, Bhaumik K (2005b). Low-level brightness-contrast illusions and non classical receptive field of mammalian retina. In: Intelligent sensing and information processing, 2005. Proceedings of 2005 international conference on, pp 529–534Google Scholar
- Kandel ER, Schwartz JH, Jessell TM (eds) (2000) Principles of neural science. McGraw-Hill, New YorkGoogle Scholar
- Marr D (1982) Vision: a computational investigation into the human representation and processing of visual information. W. H. Freeman and Company, New YorkGoogle Scholar
- Robinson AE, Hammon PS, de Sa VR (2007b) A filtering model of brightness perception using frequency-specific locally-normalized oriented difference-of-Gaussians (FLODOG). Vision Sciences Society, SarasotaGoogle Scholar