Literatura académica sobre el tema "Digital images"
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Artículos de revistas sobre el tema "Digital images"
Parker, Julie J. S. "Commercial digital image libraries, digital images and digital discontent". International Journal on Digital Libraries 4, n.º 2 (23 de julio de 2004): 124–36. http://dx.doi.org/10.1007/s00799-003-0075-3.
Texto completoMatthews, Linda y Gavin Perin. "Digital Images". International Journal of Creative Interfaces and Computer Graphics 2, n.º 1 (enero de 2011): 27–41. http://dx.doi.org/10.4018/jcicg.2011010103.
Texto completoBalter, Stephen. "Digital images". Catheterization and Cardiovascular Interventions 46, n.º 4 (abril de 1999): 487–96. http://dx.doi.org/10.1002/(sici)1522-726x(199904)46:4<487::aid-ccd22>3.0.co;2-m.
Texto completoDeahl, Elizabeth Davis. "Accessing Digital Images". Journal of Religious & Theological Information 3, n.º 3-4 (6 de julio de 2001): 105–25. http://dx.doi.org/10.1300/j112v03n03_08.
Texto completoSwartz, Michael L. "Managing digital images". American Journal of Orthodontics and Dentofacial Orthopedics 118, n.º 3 (septiembre de 2000): 354–58. http://dx.doi.org/10.1067/mod.2000.110525.
Texto completoMcEvoy, F., E. Svalastoga y B. McEvoy. "Certifying digital images". Veterinary Record 164, n.º 10 (7 de marzo de 2009): 312. http://dx.doi.org/10.1136/vr.164.10.312.
Texto completoSaepulrohman, Asep, Agus Ismangil y Leny Heliawati. "Message Encryption in Digital Images using the Zhang LSB Imange Method". Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 21, n.º 1 (29 de enero de 2024): 21–30. http://dx.doi.org/10.33751/komputasi.v21i1.9314.
Texto completoKarapanagiotis, Nicole. "Of Digital Images and Digital Media". Nova Religio 21, n.º 3 (1 de febrero de 2018): 74–102. http://dx.doi.org/10.1525/nr.2018.21.3.74.
Texto completoLonghi, Raquel Ritter. "Slideshow como formato noticioso no webjornalismo". Revista FAMECOS 18, n.º 3 (22 de diciembre de 2011): 782. http://dx.doi.org/10.15448/1980-3729.2011.3.10384.
Texto completoMeyyappan, Thamarai y Jeya Nachiaban. "Lossless Digital Image Compression Method for Bitmap Images". International journal of Multimedia & Its Applications 3, n.º 4 (30 de noviembre de 2011): 83–92. http://dx.doi.org/10.5121/ijma.2011.3407.
Texto completoTesis sobre el tema "Digital images"
Travisani, Tatiana Giovannone [UNESP]. "Imagem digital em movimento". Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/86983.
Texto completoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Este trabalho reúne análises sobre as imagens digitais com questões estruturais e poéticas do movimento, fazendo um levantamento histórico e artístico desde os primeiros experimentos em cronofotografia, até as manifestações atuais, do universo digital, que incorporam o movimento como temática. A imagem digital tratada não é de cunho sintético, mas sim que passou por algum processo de captura analógica, por meio de câmeras, e após isso, foi digitalizada. A partir daí, a pesquisa reflete as transformações estéticas e sinestéticas que as imagens podem sofrer de acordo com as possibilidades oferecidas pela tecnologia digital. Procuramos discutir os processos e precedimentos artísticos sob a luz desse caráter tecnológico, em que as imagens ganham novas formas dinâmicas e novos padrões de movimento. Buscamos incluir os principais fatores que são singulares ao universo digital e permitem concepções artísticas inovadoras através das novas mídias surgidas. Entre as características estão a convergência, desmaterialização, ubiqüidade e a replicabilidade dos remixes e samplers. Três obras foram discutidas com maior profundidade por oferecerem suporte conceitural, visual e nova proposta estética: Stop Motion Studies (David Crawford), Soft Cinema (Lev Manovich) e as Live Images (Luiz Duva). Durante a pesquisa, a autora também elaborou três obras construídas em momentos distintos, que acompanhavam os questionamentos feitos ao longo do processo: convergência, gradeativa e passagens. As obras sugerem um estreitamento intenso entre arte e pesquisa, pratica e teoria, no intuito de atingir complexidade sobre o tema, para contribuir com estudos contemporâneos sobre as manifestações artísticas nas novas mídias.
This work analyses the digital under the structural and poetical issues of the movement, making a historical and artistic retrospective since the first experiments in cronophotography, to the current manisfestations of the digital universe, that incorporate the movement as thema. The treated digital image is not asynthetic matrix, but the one that passed for some process of analogical capture by cameras and then digitalized. Further on, the research reflects about the aesthetic and synesthesic transformations that images can receive with possibilities offered by the digital technology. We look for debate the processes and artistic procedures and its techological features, when the images gain new dynamic forms and new standards of movement. We try to include the main factors that are singular to the digital universe and allow innovative artistic comceptions through the new appeared medias. Some of the features are the convergence, dematerialization, ubiquity and the replicability of remixes and samplers. Three artistic creation had been deeply analysed because of its conceptual visual and new aesthetic proposal support: Stop Motion Studies (David Crawford), Soft Cinema (Lev Manovich) and the Live Images (Luiz Duva). During this work, the author also elaboreted three creactions built in different times, that accompany the debates made throughout the process: Convergência, Gradeativa and Passagens. These creations suggest an intense relationship between aty and research, practical and theory in intention to reach complexity on the subject, to contribute with contemporaneous studies on artistic manisfestations in the new medias.
Moëll, Mattias. "Digital image analysis for wood fiber images /". Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 2001. http://epsilon.slu.se/avh/2001/91-576-6309-2.pdf.
Texto completoBourne, John D. A. "Processing digital images". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22757.pdf.
Texto completoKailasanathan, Chandrapal. "Securing digital images". Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20041026.150935/index.html.
Texto completoTravisani, Tatiana Giovannone. "Imagem digital em movimento /". São Paulo : [s.n.], 2008. http://hdl.handle.net/11449/86983.
Texto completoBanca: Pelópidas Cypriano de Oliveira
Banca: Silvia Laurentz
Resumo: Este trabalho reúne análises sobre as imagens digitais com questões estruturais e poéticas do movimento, fazendo um levantamento histórico e artístico desde os primeiros experimentos em cronofotografia, até as manifestações atuais, do universo digital, que incorporam o movimento como temática. A imagem digital tratada não é de cunho sintético, mas sim que passou por algum processo de captura analógica, por meio de câmeras, e após isso, foi digitalizada. A partir daí, a pesquisa reflete as transformações estéticas e sinestéticas que as imagens podem sofrer de acordo com as possibilidades oferecidas pela tecnologia digital. Procuramos discutir os processos e precedimentos artísticos sob a luz desse caráter tecnológico, em que as imagens ganham novas formas dinâmicas e novos padrões de movimento. Buscamos incluir os principais fatores que são singulares ao universo digital e permitem concepções artísticas inovadoras através das novas mídias surgidas. Entre as características estão a convergência, desmaterialização, ubiqüidade e a replicabilidade dos remixes e samplers. Três obras foram discutidas com maior profundidade por oferecerem suporte conceitural, visual e nova proposta estética: Stop Motion Studies (David Crawford), Soft Cinema (Lev Manovich) e as Live Images (Luiz Duva). Durante a pesquisa, a autora também elaborou três obras construídas em momentos distintos, que acompanhavam os questionamentos feitos ao longo do processo: convergência, gradeativa e passagens. As obras sugerem um estreitamento intenso entre arte e pesquisa, pratica e teoria, no intuito de atingir complexidade sobre o tema, para contribuir com estudos contemporâneos sobre as manifestações artísticas nas novas mídias.
Abstract: This work analyses the digital under the structural and poetical issues of the movement, making a historical and artistic retrospective since the first experiments in cronophotography, to the current manisfestations of the digital universe, that incorporate the movement as thema. The treated digital image is not asynthetic matrix, but the one that passed for some process of analogical capture by cameras and then digitalized. Further on, the research reflects about the aesthetic and synesthesic transformations that images can receive with possibilities offered by the digital technology. We look for debate the processes and artistic procedures and its techological features, when the images gain new dynamic forms and new standards of movement. We try to include the main factors that are singular to the digital universe and allow innovative artistic comceptions through the new appeared medias. Some of the features are the convergence, dematerialization, ubiquity and the replicability of remixes and samplers. Three artistic creation had been deeply analysed because of its conceptual visual and new aesthetic proposal support: Stop Motion Studies (David Crawford), Soft Cinema (Lev Manovich) and the Live Images (Luiz Duva). During this work, the author also elaboreted three creactions built in different times, that accompany the debates made throughout the process: Convergência, Gradeativa and Passagens. These creations suggest an intense relationship between aty and research, practical and theory in intention to reach complexity on the subject, to contribute with contemporaneous studies on artistic manisfestations in the new medias.
Mestre
Zain, Jasni Mohamad. "Digital watermarking in medical images". Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/4978.
Texto completoCondell, Joan V. "Motion tracking in digital images". Thesis, University of Ulster, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274406.
Texto completoAhmed, Kamal Ali. "Digital watermarking of still images". Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/digital-watermarking-of-still-images(0dc4b146-3d97-458f-9506-8c67bc3a155b).html.
Texto completoStokes, Mike. "Colorimetric tolerances of digital images /". Online version of thesis, 1991. http://hdl.handle.net/1850/10896.
Texto completoCembalo, Maurizio. "Forensic analysis for digital images". Doctoral thesis, Universita degli studi di Salerno, 2011. http://hdl.handle.net/10556/227.
Texto completoNowadays, taking and sharing digital pictures is becoming a very popular activity. This is witnessed by the explosive growth of the digital cameras market: e.g., more than one billion of digital cameras have been produced and shipped in 2010. A consequence of this trend is that also the number of crimes involving digital pictures increases, either because pictures are part of the crime (e.g., exchanging pedopornographic pictures) or because their analysis may reveal some important clue about the author of the crime. The highly technical nature of computer crimes facilitated a wholly new branch of forensic science called digital forensics. The Digital Forensic Sci- ence involves processes such as acquisition of data from an electronic source, analysis of the acquired data, extraction of evidence from the data, and the preservation and presentation of the evidence. Digital Imaging Forensics is a specialization of the Digital Forensics which deals with digital images. One of the many issues that the Digital Imaging Forensics tries to deal with is the source camera identi cation problem, i.e., establish if a given image has been taken by a given digital camera. Today this is a practical and important problem aiming to identify reliably the imaging device that acquired a particular digital image. Techniques to authenticate an electronic image are especially important in court. For example, identifying the source device could establish the origin of images presented as evidence. In a prosecution for child pornography, for example, it could be desirable that one could prove that certain imagery was obtained with a speci c camera and is thus not an image generated by a computer, given that "virutal images" are not considered offense. As electronic images and digital video replace their analog counterparts, the importance of reliable, inexpensive, and fast identification of the origin of a particular image will increase. The identification of a source camera of an image is a complex issue which requires the understanding of the several steps involved in the creation of the digital photographic representation of a real scene. In particular, it is necessary to understand how the digital images are created, which are the processes which create (and therefore affect) the creation of the digital data, starting from the real scene. Moreover, it is necessary to point out the factors which can be used to support the camera identification and, may be even more important, which are the factors which can tamper the photos and prevent (maliciously or not) the camera identification. Many identification techniques have been proposed so far in literature. All these techniques generally work by using the sensor noise (an unexpected variation of the digital signal) left by a digital sensor when taking a picture as a fingerprint for identifying the sensor. These studies are generally accompanied with tests proving the effectiveness of these techniques, both in terms of False Acceptance Rate (FAR) and False Rejection Rate (FRR). Unfortunately, most of these contributions do not take into consideration that, in practice, the images that are shared and exchanged over the Internet have often been pre-processed. Instead, it is a common practice to assume that the images to be examined are unmodified or, at most, to ignore the e ects of the pre-processing. Even without considering the case of malicious users that could intention- ally process a picture in order to fool the existing identification techniques, this assumption is unrealistic for at least two reasons. The first is that, as previously mentioned, almost all current photo-managing software o ers several functions for adjusting, sometimes in a "magic" way (see the "I'm feeling lucky" function on Google Picasa) different characteristics of a picture. The second reason can be found in the way the images are managed by some of the most important online social network (OSN) and online photo sharing (OPS) sites. These services usually make several modifications to the original photos before publishing them in order to either improve their appearance or reduce their size. In this thesis we have first implemented the most prominent source camera identification technique, proposed by Lukas et al. and based on the Photo-Response Non-Uniformity. Then, we present a new identification technique that use a SVM (Support Vector Macchine) classifier to associate photos to the right camera. Both our implementation of Lukas et al. technique and our SVM technique have been extensively tested on a test-sample of nearly 2500 images taken from 8 different cameras. The main purpose of the experiments conducted is to see how these techniques performs in presence of pre-processed images, either explicit modified by a user with photo management tools or modified by OSNs and OPSs services without user awareness. The results confirm that, in several cases, the method by Lukas et al. and our SVM technique is resilient to the modifications introduced by the considered image-processing functions. However, in the experiments it has been possible to identify several cases where the quality of the identifica- tion process was deteriorated because of the noise introduced by the image- processing. In addition, when dealing with Online Social Networks and Online Photo Sharing services, it has been noted that some of them process and modify the uploaded pictures. These modifications make ineffective, in many cases, the method by Lukas et al. while SVM technique performs slightly better. [edited by author]
2009 - 2010
Libros sobre el tema "Digital images"
Dawson, Ian, Andrew Meirion Jones, Louisa Minkin y Paul Reilly. Diffracting Digital Images. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003042129.
Texto completoKayyali, Mohamed S. Digital image processing. Lima: Facultad de Ingenieria y Arquitectura de la Universidad de San Martin de Porres, 2002.
Buscar texto completoPeters, James F. Topology of Digital Images. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53845-2.
Texto completoFletcher, Glennys. Indexing digital skating images. Birmingham: University of Central England in Birmingham, 2000.
Buscar texto completoDavies, Adrian. Digital imaging for photographers. 3a ed. Oxford: Focal Press, 1998.
Buscar texto completoBusselle, Michael. Creative digital photography. New York: Amphoto Books, 2001.
Buscar texto completoIhrig, Sybil. Preparing digital images for print. Berkeley, Calif: Osborne McGraw-Hill, 1996.
Buscar texto completoYahya, Abid. Steganography Techniques for Digital Images. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-78597-4.
Texto completoDroblas, Adele. Digital images: A practical guide. Berkeley: Osborne McGraw-Hill, 1995.
Buscar texto completoCondell, Joan V. Motion tracking in digital images. [s.l: The Author], 2002.
Buscar texto completoCapítulos de libros sobre el tema "Digital images"
Burger, Wilhelm y Mark J. Burge. "Digital Images". En Texts in Computer Science, 1–21. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6684-9_1.
Texto completoGomes, Jonas y Luiz Velho. "Digital Images". En Image Processing for Computer Graphics, 107–43. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4757-2745-6_5.
Texto completoSchiller, Thomas. "Digital Images". En Real-World Problems for Secondary School Mathematics Students, 257–71. Rotterdam: SensePublishers, 2011. http://dx.doi.org/10.1007/978-94-6091-543-7_15.
Texto completoRyan, Øyvind. "Digital Images". En Springer Undergraduate Texts in Mathematics and Technology, 283–312. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01812-2_8.
Texto completoKinser, Jason M. "Digital Images". En Image Operators, 55–66. First edition. | Boca Raton, FL: CRC Press/Taylor & Francis Group, [2019] |: CRC Press, 2018. http://dx.doi.org/10.1201/9780429451188-4.
Texto completoBourne, Roger. "Digital Images". En Fundamentals of Digital Imaging in Medicine, 7–30. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-087-6_2.
Texto completoRyan, Øyvind. "Digital Images". En Springer Undergraduate Texts in Mathematics and Technology, 287–316. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02940-1_8.
Texto completoBurger, Wilhelm y Mark James Burge. "Digital Images". En Principles of Digital Image Processing, 1–24. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-191-6_1.
Texto completoVelho, Luiz, Alejandro Frery y Jonas Gomes. "Digital Images". En Texts in Computer Science, 135–46. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84800-193-0_6.
Texto completoBurger, Wilhelm y Mark J. Burge. "Digital Images". En Texts in Computer Science, 3–28. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05744-1_1.
Texto completoActas de conferencias sobre el tema "Digital images"
Shaw, G. "Digital document integrity". En IEE Seminar on Secure Images and Image Authentication. IEE, 2000. http://dx.doi.org/10.1049/ic:20000223.
Texto completoMori, Masako, Toshibumi Kashiwa y Yoshimitsu Aoki. "Digital Image Evaluation Method for Digital Radiography". En ASME 2010 Pressure Vessels and Piping Division/K-PVP Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/pvp2010-25264.
Texto completoCandik, Marek y Dagmar Brechlerova. "Digital watermarking in digital images". En 2008 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE, 2008. http://dx.doi.org/10.1109/ccst.2008.4751274.
Texto completoBlake, Richard E. "Digital image processing of underwater images". En 2006 IEEE US/EU Baltic International Symposium on Integrated Ocean Observation Syst. for Managing Global & Regional Ecosys.Marine Resch. IEEE, 2006. http://dx.doi.org/10.1109/baltic.2006.7266195.
Texto completoMohanna, Y., S. Malaeb, H. Alaeddine, O. Bazzi y A. Alaeddine. "Digital image stabilization for video images". En 2015 27th International Conference on Microelectronics (ICM). IEEE, 2015. http://dx.doi.org/10.1109/icm.2015.7437987.
Texto completoVoronin, Sergei, Vitaly Kober, Artyom Makovetskii y Aleksei Voronin. "Image dehazing using spatially displaced images". En Applications of Digital Image Processing XLII, editado por Andrew G. Tescher y Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2529684.
Texto completoDi Santo, Simone, Nadege Bize-Forest, Isabelle Le Nir y Carlos Maeso. "WELLBORE IMAGES DIGITAL FUSION: BEYOND SINGLE-SENSOR PHYSICAL CONSTRAINTS". En 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0007.
Texto completoWang, Jinlong, Leilei Wu, Guowei Ma y Yao Lu. "Making esophageal squamous cell carcinoma survival prediction from histopathological images and CT images". En Digital Pathology, editado por John E. Tomaszewski y Aaron D. Ward. SPIE, 2020. http://dx.doi.org/10.1117/12.2549285.
Texto completoMori, Masako, Toshibumi Kashiwa y Yoshimitsu Aoki. "Digital Image Evaluation Method for Digital Radiography". En 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29702.
Texto completoKim, Hye Kyung. "Digital abstract images". En ACM SIGGRAPH 2006 Sketches. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179849.1179923.
Texto completoInformes sobre el tema "Digital images"
Lee, Chung-Nim y Azriel Rosenfeld. Continuous Representations of Digital Images. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1985. http://dx.doi.org/10.21236/ada164189.
Texto completoDuffany, Jeffrey L. y Marcus D. Velez. Steganography and Steganalysis in Digital Images. Fort Belvoir, VA: Defense Technical Information Center, enero de 2012. http://dx.doi.org/10.21236/ada582940.
Texto completoMount, D. M., T. Kanungo, N. S. Netanyahu, C. Piatko, R. Silverman y A. Y. Wu. Approximating Large Convolutions in Digital Images. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1999. http://dx.doi.org/10.21236/ada458736.
Texto completoNaderi, Ramin. Quadtree-based processing of digital images. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.5474.
Texto completoBarrett, Steven F. Digital Tracking and Control of Retinal Images. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1993. http://dx.doi.org/10.21236/ada267490.
Texto completoShaw, J. y R. C. Courtney. Postglacial coastlines of Atlantic Canada: digital images. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/213399.
Texto completoSugisaka, Masanori y Jeffrey Johnson. Construct Abstraction for Automatic Information Abstraction from Digital Images. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2006. http://dx.doi.org/10.21236/ada455945.
Texto completoLee, Jingeol. Measurements of granular flow dynamics with high speed digital images. Office of Scientific and Technical Information (OSTI), enero de 1994. http://dx.doi.org/10.2172/425294.
Texto completoGreaves, C. y J. B. R. Eamer. Focus stacking for cataloguing, presentation, and identification of microfossils in marine sediments. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331355.
Texto completoLi, Christina M., III Dobbins y James T. Temporal Subtraction of Digital Breast Tomosynthesis Images for Improved Mass Detection. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 2009. http://dx.doi.org/10.21236/ada519456.
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