Search results for "Color mapping"

showing 2 items of 2 documents

Image Content Enhancement Through Salient Regions Segmentation for People With Color Vision Deficiencies

2019

Color vision deficiencies affect visual perception of colors and, more generally, color images. Several sciences such as genetics, biology, medicine, and computer vision are involved in studying and analyzing vision deficiencies. As we know from visual saliency findings, human visual system tends to fix some specific points and regions of the image in the first seconds of observation summing up the most important and meaningful parts of the scene. In this article, we provide some studies about human visual system behavior differences between normal and color vision-deficient visual systems. We eye-tracked the human fixations in first 3 seconds of observation of color images to build real f…

Visual perceptiongenetic structureslcsh:BF1-990ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExperimental and Cognitive Psychology02 engineering and technology050105 experimental psychologyArticlevisual saliencyArtificial IntelligenceColor mapping0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesComputer visionSegmentationimage enhancementimage segmentationeye-trackingSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industry05 social sciencesEye movementImage segmentationFixation (psychology)Color vision deficienciesSensory Systemseye diseasesOphthalmologyeye movementslcsh:PsychologyHuman visual system modelEye tracking020201 artificial intelligence & image processingArtificial intelligencebusinessimagery
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Directive local color transfer based on dynamic look-up table

2019

Abstract Color transfer in image processing usually suffers from misleading color mapping and loss of details. This paper presents a novel directive local color transfer method based on dynamic look-up table (D-DLT) to solve these problems in two steps. First, a directive mapping between the source and the reference image is established based on the salient detection and the color clusters to obtain directive color transfer intention. Then, dynamic look-up tables are created according to the color clusters to preserve the details, which can suppress pseudo contours and avoid detail loss. Subjective and objective assessments are presented to verify the feasibility and the availability of the…

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunicationsImage processing02 engineering and technologyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Annen informasjonsteknologi: 559DirectiveLocal colorSalientTransfer (computing)Signal ProcessingColor mappingLookup table0202 electrical engineering electronic engineering information engineeringTable (database)020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareSignal Processing: Image Communication
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