Flash image enhancement via ratio-log image translation to ambient images

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dc.contributor.advisorCayllahua Cahuina, Edward Jorge Yuri
dc.contributor.authorChavez Alvarez, Jose Armando
dc.date.accessioned2021-07-01T15:18:34Z
dc.date.available2021-07-01T15:18:34Z
dc.date.issued2021
dc.description.abstractTo illuminate low-light scenarios in photography, photographers usually use the camera flash, this produces flash images. Nevertheless, this external light may produce non-uniform illumination and unnatural color of objects, especially in low-light conditions. On the other hand, in an ambient image, an image captured with the available light in the ambient, the illumination is evenly distributed. We therefore consider ambient images as the enhanced version of flash images. Thus, with a fully convolutional network, and a flash image as input, we first estimate the ratio-log image. Then, our model produces the ambient image by using the estimated ratio-log image and ash image. Hence, high-quality information is recovered with the flash image. Our model generates suitable natural and uniform illumination on the FAID dataset with SSIM = 0:662, and PSNR = 15:77, and achieves better performance than state-of-the-art methods. We also analyze the components of our model and how they affect the overall performance. Finally, we introduce a metric to measure the similarity of naturalness of illumination between target and predicted images. es_PE
dc.description.uriTesises_PE
dc.formatapplication/pdfes_PE
dc.identifier.other1073210
dc.identifier.urihttps://hdl.handle.net/20.500.12590/16788
dc.language.isoenges_PE
dc.publisherUniversidad Católica San Pabloes_PE
dc.publisher.countryPEes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.sourceUniversidad Católica San Pabloes_PE
dc.sourceRepositorio Institucional - UCSPes_PE
dc.subjectImage enhancementes_PE
dc.subjectImage-to-image translationes_PE
dc.subjectRatio imageses_PE
dc.subjectFully convolutional networkses_PE
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.01es_PE
dc.titleFlash image enhancement via ratio-log image translation to ambient imageses_PE
dc.typeinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE
renati.advisor.dni42425489
renati.advisor.orcidhttps://orcid.org/0000-0001-5422-0779es_PE
renati.author.dni46829982
renati.discipline611017es_PE
renati.jurorJosé Eduardo Ochoa Lunaes_PE
renati.jurorGuillermo Cámara Chávezes_PE
renati.jurorJavier Montoya Zegarraes_PE
renati.jurorEdwin Jonathan Escobedo Cárdenases_PE
renati.levelhttps://purl.org/pe-repo/renati/level#maestro
renati.typehttps://purl.org/pe-repo/renati/type#tesis
thesis.degree.disciplineCiencia de la Computaciónes_PE
thesis.degree.grantorUniversidad Católica San Pablo. Departamento de Ciencia de la Computaciónes_PE
thesis.degree.levelMaestríaes_PE
thesis.degree.nameMaestro en Ciencia de la Computaciónes_PE
thesis.degree.programEscuela Profesional de Ciencia de la Computaciónes_PE
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