Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking

A quantitative model of implicit masking, with a front-end low-pass filter, a retinal local compressive nonlinearity described by a modified Naka-Rushton equation, a cortical representation of the image in the Fourier domain, and a frequency-dependent compressive nonlinearity, was developed to simul...

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Main Author: Jian Yang
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2007/75402
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author Jian Yang
author_facet Jian Yang
author_sort Jian Yang
collection DOAJ
description A quantitative model of implicit masking, with a front-end low-pass filter, a retinal local compressive nonlinearity described by a modified Naka-Rushton equation, a cortical representation of the image in the Fourier domain, and a frequency-dependent compressive nonlinearity, was developed to simulate visual image processing. The model algorithm was used to estimate contrast sensitivity functions over 7 mean illuminance levels ranging from 0.0009 to 900 trolands, and fit to the contrast thresholds of 43 spatial patterns in the Modelfest study. The RMS errors between model estimations and experimental data in the literature were about 0.1 log unit. In addition, the same model was used to simulate the effects of simultaneous contrast, assimilation, and crispening. The model results matched the visual percepts qualitatively, showing the value of integrating the three diverse perceptual phenomena under a common theoretical framework.
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spelling doaj.art-60b30184c34b41508d65bce86851942c2022-12-22T01:18:04ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-01200710.1155/2007/75402Simulating Visual Pattern Detection and Brightness Perception Based on Implicit MaskingJian YangA quantitative model of implicit masking, with a front-end low-pass filter, a retinal local compressive nonlinearity described by a modified Naka-Rushton equation, a cortical representation of the image in the Fourier domain, and a frequency-dependent compressive nonlinearity, was developed to simulate visual image processing. The model algorithm was used to estimate contrast sensitivity functions over 7 mean illuminance levels ranging from 0.0009 to 900 trolands, and fit to the contrast thresholds of 43 spatial patterns in the Modelfest study. The RMS errors between model estimations and experimental data in the literature were about 0.1 log unit. In addition, the same model was used to simulate the effects of simultaneous contrast, assimilation, and crispening. The model results matched the visual percepts qualitatively, showing the value of integrating the three diverse perceptual phenomena under a common theoretical framework.http://dx.doi.org/10.1155/2007/75402
spellingShingle Jian Yang
Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
EURASIP Journal on Advances in Signal Processing
title Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
title_full Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
title_fullStr Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
title_full_unstemmed Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
title_short Simulating Visual Pattern Detection and Brightness Perception Based on Implicit Masking
title_sort simulating visual pattern detection and brightness perception based on implicit masking
url http://dx.doi.org/10.1155/2007/75402
work_keys_str_mv AT jianyang simulatingvisualpatterndetectionandbrightnessperceptionbasedonimplicitmasking