CNN-based models for color vision and visual illusions

Zarándy, Ákos; Orzó, Lászlò; Grawes, E.; Werblin, Frank S.

doi:10.1109/81.747190

Cited by 19 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One existing explanation of the angle expansion phenomenon in Poggendorff illusion is that it is due to lateral inhibition between orientation cells (Blakemore et al 1970;Blakemore and Tobin 1972). The explanation is also known as angular displacement theory Zarándy et al (1999). Our model is an extension of the angular displacement theory.…”

Section: Discussionmentioning

confidence: 85%

“…However, there is an additional mechanism that can help address this issue. Zarándy et al (1999) proposed that there is an apparent illusory shift or overestimation of the end position of the acute angles by endpoint detectors in the visual cortex (Fig. 9c), but the shift is not perceived with the obtuse angles.…”

Section: Discussionmentioning

confidence: 99%

“…For example, the point B appears to be on the right of point A, but actually they are on the same vertical line. Redrawn from Zarándy et al (1999). d The combination of shift in endpoint and angle expansion mechanisms may explain why the illusion is reduced in a.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Neural model of disinhibitory interactions in the modified Poggendorff illusion

Choe

2007

Biol Cybern

View full text Add to dashboard Cite

Visual illusions can be strengthened or weakened with the addition of extra visual elements. For example, in the Poggendorff illusion, with an additional bar added, the illusory skew in the perceived angle can be enlarged or reduced. In this paper, we show that a nontrivial interaction between lateral inhibitory processes in the early visual system (i.e., disinhibition) can explain such an enhancement or degradation of the illusory effect. The computational model we derived successfully predicted the perceived angle in the Poggendorff illusion task that was modified to include an extra thick bar. The concept of disinhibition employed in the model is general enough that we expect it can be further extended to account for other classes of geometric illusions.

show abstract

Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Neural model of disinhibitory interactions in the modified Poggendorff illusion

Choe

2007

Biol Cybern

View full text Add to dashboard Cite

show abstract

Adaptive image sensing and enhancement using the cellular neural network universal machine

Brendel

Roska

2002

Circuit Theory & Apps

View full text Add to dashboard Cite

SUMMARYAs an attempt to introduce interactive, content-dependent adaptive (ICDA) image processing, a simple but powerful active image sensing and two image enhancement methods are introduced via adaptive CNN-UM sensor-computers. Thus, the method ICDA can be used for adaptive control of image sensing and for subsequent on-line or o -line image enhancement as well. The algorithms use both intensity and contrast content. The image sensing technology can be realized with the current CNN-UM chip. Our ÿrst image enhancement method is also executable on this chip, but it is more suitable for the adaptive cellular neural network universal machine (ACNN-UM) architecture. Some results of simulator and chip experiments and an adaptive extended cell are presented. Our second, dynamical image enhancement method is planned to be executable on a multi-layer, complex cell CNN architecture. In (Proceedings of the 6th IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-2000) Catania, 2000; 213 -217) 3-layer architecture is described which is capable of realizing the main part of the second enhancement method.The main issues of our paper are as follows: the novel outlook of the ICDA framework, three new methods for two key application areas of CNN-UM, the notion of 'regional' adaptive computing, the novelty of application of equilibrium-computing in the third method. However, the key novelty of our work is not just a new method and a new realization: by combining sensing and computing, dynamically and pixelwise, a new quality becomes practical.

show abstract