Purkinje images: conveying different content for different luminance adaptations in a single image

dc.citation.epage126en_US
dc.citation.issueNumber1en_US
dc.citation.spage116en_US
dc.citation.volumeNumber34en_US
dc.contributor.authorArpa, S.en_US
dc.contributor.authorRitschel, T.en_US
dc.contributor.authorMyszkowski, K.en_US
dc.contributor.authorÇapin, T.en_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.date.accessioned2016-02-08T10:09:43Z
dc.date.available2016-02-08T10:09:43Z
dc.date.issued2015en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractProviding multiple meanings in a single piece of art has always been intriguing to both artists and observers. We present Purkinje images, which have different interpretations depending on the luminance adaptation of the observer. Finding such images is an optimization that minimizes the sum of the distance to one reference image in photopic conditions and the distance to another reference image in scotopic conditions. To model the shift of image perception between day and night vision, we decompose the input images into a Laplacian pyramid. Distances under different observation conditions in this representation are independent between pyramid levels and pixel positions and become matrix multiplications. The optimal pixel colour can be found by inverting a small, per-pixel linear system in real time on a GPU. Finally, two user studies analyze our results in terms of the recognition performance and fidelity with respect to the reference images. Providing multiple meanings in a single piece of art has always been intriguing to both artists and observers. We present Purkinje images, which have different interpretations depending on the luminance adaptation of the observer. Finding such images is an optimization that minimizes the sum of the distance to one reference image in photopic conditions and the distance to another reference image in scotopic conditions. To model the shift of image perception between day and night vision, we decompose the input images into a Laplacian pyramid. © 2014 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:09:43Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2015en
dc.identifier.doi10.1111/cgf.12463en_US
dc.identifier.issn0167-7055en_US
dc.identifier.urihttp://hdl.handle.net/11693/23159en_US
dc.language.isoEnglishen_US
dc.publisherBlackwell Publishing Ltden_US
dc.relation.isversionofhttps://doi.org/10.1111/cgf.12463en_US
dc.source.titleComputer Graphics Forumen_US
dc.subjectPerceptually based renderingen_US
dc.subjectPhotopic visionen_US
dc.subjectPurkinje illusionen_US
dc.subjectScotopic visionen_US
dc.subjectColor computer graphicsen_US
dc.subjectComputer graphicsen_US
dc.subjectLaplace transformsen_US
dc.subjectLinear systemsen_US
dc.subjectPixelsen_US
dc.subjectVisionen_US
dc.subjectImage perceptionen_US
dc.subjectMatrix multiplicationen_US
dc.subjectObservation conditionen_US
dc.subjectPhotopic conditionsen_US
dc.subjectPurkinjeen_US
dc.subjectReference imageen_US
dc.subjectViewing algorithmsen_US
dc.subjectLuminanceen_US
dc.titlePurkinje images: conveying different content for different luminance adaptations in a single imageen_US
dc.typeArticleen_US

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