Search results for "Image generation"

showing 2 items of 2 documents

Digital Mosaic Frameworks - an overview

2007

Art often provides valuable hints for technological innovations especially in the field of Image Processing and Computer Graphics. In this paper we survey in a unified framework several methods to transform raster input images into good quality mosaics. For each of the major different approaches in literature the paper reports a short description and a discussion of the most relevant issues. To complete the survey comparisons among the different techniques both in terms of visual quality and computational complexity are provided.

Architecture Fine Arts Picture/Image GenerationThesaurus (information retrieval)MultimediaComputer sciencemedia_common.quotation_subjectNon-Photo-realistic RenderingMosaic (geodemography)Image processingcomputer.file_formatcomputer.software_genreComputer Graphics and Computer-Aided DesignData scienceMosaicField (computer science)Computer graphicsArtificial Mosaic; Non-Photo-realistic RenderingArtificial MosaicQuality (business)Raster graphicscomputermedia_common
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Ghost Detection and Removal for High Dynamic Range Images: Recent Advances

2012

23 pages; International audience; High dynamic range (HDR) image generation and display technologies are becoming increasingly popular in various applications. A standard and commonly used approach to obtain an HDR image is the multiple exposures fusion technique which consists of combining multiple images of the same scene with varying exposure times. However, if the scene is not static during the sequence acquisition, moving objects manifest themselves as ghosting artefacts in the final HDR image. Detecting and removing ghosting artefacts is an important issue for automatically generating HDR images of dynamic scenes. The aim of this paper is to provide an up-to-date review of the recentl…

Image generationExposures fusionComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]GeneralLiterature_MISCELLANEOUSImage (mathematics)Ghost detectionComputer graphics (images)0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringGhostingHigh dynamic rangeComputingMethodologies_COMPUTERGRAPHICSSequencebusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringHigh dynamic range imagesGhost removalSignal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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