Power spectrum model of visual masking: simulations and empirical data

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dc.contributor.authorSerrano Pedraza, Ignacio
dc.contributor.authorSierra Vázquez, Vicente
dc.contributor.authorDerrington, Andrew M
dc.date.accessioned2023-06-19T15:00:44Z
dc.date.available2023-06-19T15:00:44Z
dc.date.issued2013-06
dc.description.abstractIn the study of the spatial characteristics of the visual channels, the power spectrum model of visual masking is one of the most widely used. When the task is to detect a signal masked by visual noise, this classical model assumes that the signal and the noise are previously processed by a bank of linear channels and that the power of the signal at threshold is proportional to the power of the noise passing through the visual channel that mediates detection. The model also assumes that this visual channel will have the highest ratio of signal power to noise power at its output. According to this, there are masking conditions where the highest signal-to-noise ratio (SNR) occurs in a channel centered in a spatial frequency different from the spatial frequency of the signal (off-frequency looking). Under these conditions the channel mediating detection could vary with the type of noise used in the masking experiment and this could affect the estimation of the shape and the bandwidth of the visual channels. It is generally believed that notched noise, white noise and double bandpass noise prevent off-frequency looking, and high-pass, low-pass and bandpass noises can promote it independently of the channel's shape. In this study, by means of a procedure that finds the channel that maximizes the SNR at its output, we performed numerical simulations using the power spectrum model to study the characteristics of masking caused by six types of one-dimensional noise (white, high-pass, low-pass, bandpass, notched, and double bandpass) for two types of channel's shape (symmetric and asymmetric). Our simulations confirm that (1) high-pass, low-pass, and bandpass noises do not prevent the off-frequency looking, (2) white noise satisfactorily prevents the off-frequency looking independently of the shape and bandwidth of the visual channel, and interestingly we proved for the first time that (3) notched and double bandpass noises prevent off-frequency looking only when the noise cutoffs around the spatial frequency of the signal match the shape of the visual channel (symmetric or asymmetric) involved in the detection. In order to test the explanatory power of the model with empirical data, we performed six visual masking experiments. We show that this model, with only two free parameters, fits the empirical masking data with high precision. Finally, we provide equations of the power spectrum model for six masking noises used in the simulations and in the experiments.
dc.description.departmentDepto. de Psicología Experimental, Procesos Cognitivos y Logopedia
dc.description.facultyFac. de Psicología
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/36272
dc.identifier.doidoi.org/10.1364/JOSAA.30.001119
dc.identifier.issn1520-8532
dc.identifier.officialurlhttp://dx.doi.org/10.1364/JOSAA.30.001119
dc.identifier.relatedurlhttps://www.osapublishing.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/35117
dc.issue.number6
dc.journal.titleJournal of the Optical Society of America. A, Optics, image science, and vision
dc.language.isoeng
dc.page.final35
dc.page.initial1119
dc.publisherOptical Society of America
dc.relation.projectIDPSI2011-24491
dc.rights.accessRightsrestricted access
dc.subject.cdu612.84
dc.subject.cdu159.9.07
dc.subject.keywordVisual perception
dc.subject.keywordVisual masking
dc.subject.keywordVisual noise
dc.subject.ucmPsicología experimental
dc.subject.ucmPercepción
dc.subject.ucmÓptica oftálmica
dc.subject.unesco6106 Psicología Experimental
dc.subject.unesco6106.09 Procesos de Percepción
dc.titlePower spectrum model of visual masking: simulations and empirical data
dc.typejournal article
dc.volume.number30
dspace.entity.typePublication
relation.isAuthorOfPublication0fc94368-bbc4-426b-915d-34d2e98197db
relation.isAuthorOfPublication0bfd39a7-dc89-4288-a952-63984af80133
relation.isAuthorOfPublication.latestForDiscovery0fc94368-bbc4-426b-915d-34d2e98197db
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