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About 10,000 papers for “Visual processing”

Visual processing in migraineurs

Shirley H. Wray, Danica Mijović-Prelec, Stephen M. Kosslyn · Brain · 1995

Twelve migraine subjects with aura and 12 matched control subjects performed four computerized visual tasks. Because chronic electroencephalographic and regional cerebral blood flow abnormalities in posterior brain functions have been documented during interictal periods, migraine subjects were tested between migraine attacks. Two tasks, orientation detection and temporal order judgement, were devised to examine 'low-level' visual processes. The results were compared with results from two tasks, picture naming and word priming, that were devised to examine 'high-level' visual processes. Regarding the response time data across all four tasks, the migraine group was faster in the two low-level tasks. There were no differences in error rate in any of the four tasks. The migraineur's apparent response time advantage in the low-level tasks provides a psychophysical corroboration of their assumed oversensitivity to visual stimuli. The remaining two tasks, picture naming and word priming, which involve the use of previously stored information, do not distinguish migraineurs from matched control subjects. These results suggest that migraineurs are better in low-level visual processing, in that the signals to the primary visual cortex (Area V1) are processed more rapidly, but this hypersensitivity does not carry over to the subsequent processing stages (beyond V1 to superior parietal and inferior temporal cortices), as evidenced by the absence of a response time advantage in the two higher-level vision tasks.

Cited by 131

Visual color image processing.

Guoping Qiu, Gerald Schaefer · 2000

In this paper, we propose a color image processing method by combining modern signal processing technique with knowledge about the properties of the human color vision system. Color signals are processed differently according to their visual importance. The emphasis of the technique is on the preservation of total visual quality of the image and simultaneously taking into account computational efficiency. A specific color image enhancement technique, termed Hybrid Vector Median Filtering is presented. Computer simulations have been performed to demonstrate that the new approach is technically sound and results are comparable to or better than traditional methods.

Cited by 0

Walking&Visual processing

Liyu Cao, Barbara Haendel · Figshare · 2019

Original data for the report'Walking enhances peripheral visual processing in humans'<br>

Cited by 0Open access

Walking&amp;Visual processing

Liyu Cao, Haendel, Barbara · Figshare · 2019

Original data for the report'Walking enhances peripheral visual processing in humans'<br>

Cited by 0Open access

Early visual processing network.

Fabrizio Esposito (547652), Tobias Otto (547653), Fred R. H. Zijlstra (547654) et al. · Figshare · 2015

&lt;p&gt;(a) Statistical map of the differential effects (WD_T3&gt;WD_T1+FD_T1+FD_T3). Statistical thresholds were corrected for multiple comparisons. (b) Bar graph of the regional ICA scores (with standard error bars) in all conditions. (c) Correlation graph of the regional ICA scores against the normalized degree of exhaustion for the separate working day sessions (with fit lines indicating the directions of the correlations).&lt;/p&gt;

Cited by 0Open access

Visual Colour Image Processing

Guoping Qiu, G. Bradley Schaefer, G. Qiu et al. · 2000

In this paper, we propose a colour image processing method by combining modern signal processing technique with knowledge about the properties of the human colour vision system. Colour signals are processed differently according to their visual importance. The emphasis of the technique is on the preservation of total visual quality of the image and simultaneously taking into account computational efficiency. A specific colour image enhancement technique, termed Hybrid Vector Median Filtering (HVMF) is presented. Computer simulations have been performed to demonstrate that the new approach is technically sound and results are comparable to or better than traditional methods.

Cited by 0

Levels of visual processing

Régine Kolinsky · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 1991

info:eu-repo/semantics/nonPublished

Cited by 0Open access

Modeling early visual processing.

Richard Schweitzer (22331978), Thomas Seel (9030188), Jörg Raisch (5395286) et al. · Figshare · 2025

<b>a</b> Overview of the model setup. Retinal input was convolved with a bank of physiologically plausible spatial and temporal response functions (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013544#sec028" target="_blank">Sect 5.9</a> for derivation), squared to achieve an energy output, and normalized using a variant of the delayed normalization model, yielding responses to retinal input resolved across space, time, as well as SF and orientation channels. <b>b</b> Spatial aggregates of model output (a.u.), collapsed over channels and time, showing the trajectory of the target in retinotopic space. <b>c</b> Engagement of SF and orientation channels (a.u.), summed over space and time and irrespective of the presence of continuous target motion. <b>d</b> Difference in engagement of SF and orientation channels between motion-present and motion-absent conditions. Red crosses indicate the average direction of the target’s retinal trajectory and SF with maximum power, with error bars indicating .

Cited by 0Open access