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Journal articles on the topic 'Digital images'

To see the other types of publications on this topic, follow the link: Digital images.

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Parker, Julie J. S. "Commercial digital image libraries, digital images and digital discontent." International Journal on Digital Libraries 4, no. 2 (July 23, 2004): 124–36. http://dx.doi.org/10.1007/s00799-003-0075-3.

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2

Matthews, Linda, and Gavin Perin. "Digital Images." International Journal of Creative Interfaces and Computer Graphics 2, no. 1 (January 2011): 27–41. http://dx.doi.org/10.4018/jcicg.2011010103.

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The valence of any visual paradigm and its accompanying technologies is subject to the contingencies of political regimes and cultural shifts. The instigation, implementation and even reconfiguring of any associated technological system effects a translation and adjustment to the structure and use of these supporting mechanisms that both re-defines the relationship between object and viewer and ultimately influences its translation into material form. The permeation of digital systems throughout contemporary urban space is typified by Internet Protocol webcam systems, instigated by civic authorities for surveillance and the imagistic promotion of iconic city form. This paper examines how this system’s reception and subsequent translation of transmitted data signals into digital information not only presents new material to mediate people’s engagement with public space, but moreover, how it presents new opportunities for the designer to materialize its three-dimensional form within the spatial ambiguity of virtual and real-time environments.

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3

Balter, Stephen. "Digital images." Catheterization and Cardiovascular Interventions 46, no. 4 (April 1999): 487–96. http://dx.doi.org/10.1002/(sici)1522-726x(199904)46:4<487::aid-ccd22>3.0.co;2-m.

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4

Deahl, Elizabeth Davis. "Accessing Digital Images." Journal of Religious & Theological Information 3, no. 3-4 (July 6, 2001): 105–25. http://dx.doi.org/10.1300/j112v03n03_08.

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5

Swartz, Michael L. "Managing digital images." American Journal of Orthodontics and Dentofacial Orthopedics 118, no. 3 (September 2000): 354–58. http://dx.doi.org/10.1067/mod.2000.110525.

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6

McEvoy, F., E. Svalastoga, and B. McEvoy. "Certifying digital images." Veterinary Record 164, no. 10 (March 7, 2009): 312. http://dx.doi.org/10.1136/vr.164.10.312.

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7

Saepulrohman, Asep, Agus Ismangil, and Leny Heliawati. "Message Encryption in Digital Images using the Zhang LSB Imange Method." Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 21, no. 1 (January 29, 2024): 21–30. http://dx.doi.org/10.33751/komputasi.v21i1.9314.

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Message encryption in digital images using the Zhang LSB Image method is a steganography technique that utilizes the Least Significant Bit (LSB) method to hide secret messages in the last bit of the image pixel. This method allows the use of images as a medium to convey hidden messages. The encryption process involves two main stages, namely message encryption and message hiding in an image. Message encryption is carried out using strong cryptographic algorithms to secure the authenticity and confidentiality of messages. Then, the encrypted message is inserted into the last bit of the image pixel using the LSB method. This is done by modifying the last bit value of the pixel so that the change is not visually visible to the human eye. To recover the original message, the message recovery process involves extracting the last bit of the modified image pixel and decrypting the message using the appropriate key. The Zhang LSB Image method is a steganography technique that is relatively simple but effective in hiding messages in digital images.

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8

Karapanagiotis, Nicole. "Of Digital Images and Digital Media." Nova Religio 21, no. 3 (February 1, 2018): 74–102. http://dx.doi.org/10.1525/nr.2018.21.3.74.

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This article is a theoretical and ethnographic investigation of the role of marketing and branding within the contemporary ISKCON movement in the United States. In it, I examine the digital marketing enterprises of two prominent ISKCON temples: ISKCON of New Jersey and ISKCON of D.C. I argue that by attending to the vastly different ways in which these temples present and portray ISKCON online—including the markedly different media imagery by which they aim to draw the attention of the public—we can learn about an ideological divide concerning marketing within American ISKCON. This divide, I argue, highlights different ideas regarding how potential newcomers become attracted to ISKCON. It also illuminates an unexplored facet of the heterogeneity of American ISKCON, principally in terms of the movement’s public face.

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9

Longhi, Raquel Ritter. "Slideshow como formato noticioso no webjornalismo." Revista FAMECOS 18, no. 3 (December 22, 2011): 782. http://dx.doi.org/10.15448/1980-3729.2011.3.10384.

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Verifica a utilização do slideshow pelo webjornalismo enquanto formato noticioso. A partir de um estudo sobre a imagem técnica e a imagem digital, discorre sobre o estatuto da imagem fotojornalística nos meios digitais. Examina narrativas com imagens no webjornalismo, buscando analisar o formato slideshow nesse cenário. Divide-se em três partes: 1) A imagem técnica, a imagem digital e o fotojornalismo; 2) Narrativas webjornalísticas com imagens e 3) Slideshow como formato noticioso no webjornalismo. Dentre os autores referenciados estão Vilém Flusser, Arlindo Machado, Jorge Pedro Sousa, Lúcia Santaella e Winifried Nöth, Mindy McAdams e Miquel Alsina. Palavras-chave: Slideshow; Webjornalismo; Formato noticioso. Slideshow as news format in web journalism Verifies the use of slideshow format in web journalism. From a study on the imaging technique and digital imaging, talks about the status of photojournalistic image in digital media. Examines narratives with images in web journalism, trying to analyze the slideshow format in this scenario. It is divided into three parts: 1) imaging technique, digital imaging and photojournalism; 2) web journalistic narratives with images; 3) Slideshow as news in web journalism. Among the authors referred are Vilém Flusser, Arlindo Machado, Jorge Pedro Sousa, Lucia Santaella and Winifried Nöth, Mindy McAdams and Miquel Alsina. Keywords: Slideshow; Web journalism; News format.

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10

Meyyappan, Thamarai, and Jeya Nachiaban. "Lossless Digital Image Compression Method for Bitmap Images." International journal of Multimedia & Its Applications 3, no. 4 (November 30, 2011): 83–92. http://dx.doi.org/10.5121/ijma.2011.3407.

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11

Ramirez Peña, Luis Esteban, Hector A. Calderon, and Alin Andrai Carsteanu. "Digital Image Processing in C++ in SEM Images." Microscopy and Microanalysis 28, S1 (July 22, 2022): 2186–88. http://dx.doi.org/10.1017/s1431927622008443.

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12

Kalra, G. S., and Shilpi Singh. "Efficient digital image denoising for gray scale images." Multimedia Tools and Applications 75, no. 8 (February 8, 2015): 4467–84. http://dx.doi.org/10.1007/s11042-015-2484-x.

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13

Hubbard, Sally. "Digital images in museums: Securing digital content." Bulletin of the American Society for Information Science and Technology 34, no. 4 (September 17, 2008): 23–26. http://dx.doi.org/10.1002/bult.2008.1720340406.

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14

NYBERG, WILLIAM C. "STORAGE OF DIGITAL IMAGES." Retina 14, no. 3 (1994): 281–82. http://dx.doi.org/10.1097/00006982-199414030-00017.

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15

Lee, Sunyoung, and Dae-Woong Lee. "Coalgebras on Digital Images." Mathematics 8, no. 11 (November 22, 2020): 2082. http://dx.doi.org/10.3390/math8112082.

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In this article, we investigate the fundamental properties of coalgebras with coalgebra comultiplications, counits, and coalgebra homomorphisms of coalgebras over a commutative ring R with identity 1R based on digital images with adjacency relations. We also investigate a contravariant functor from the category of digital images and digital continuous functions to the category of coalgebras and coalgebra homomorphisms based on digital images via the category of unitary R-modules and R-module homomorphisms.

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16

D'CRUZ, JASON, and P. D. MAGNUS. "Are Digital Images Allographic?" Journal of Aesthetics and Art Criticism 72, no. 4 (September 2014): 417–27. http://dx.doi.org/10.1111/jaac.12117.

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17

Jones, M. E., and A. Agah. "Evolution of digital images." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 32, no. 3 (August 2002): 261–71. http://dx.doi.org/10.1109/tsmcc.2002.804449.

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18

Spreadborough, David. "Exposing fraudulent digital images." Computer Fraud & Security 2017, no. 10 (October 2017): 11–13. http://dx.doi.org/10.1016/s1361-3723(17)30090-8.

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19

Hogg, Peter, Katy Szczepura, Judith Kelly, and Melanie Taylor. "Blurred digital mammography images." Radiography 18, no. 1 (February 2012): 55–56. http://dx.doi.org/10.1016/j.radi.2011.11.008.

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20

Khademi, JA. "Digital images & sound." Journal of Dental Education 60, no. 1 (January 1996): 41–46. http://dx.doi.org/10.1002/j.0022-0337.1996.60.1.tb03010.x.

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21

Buonaquisti, Anthony D. "Digital Imaging for TEM - Part III Characterizing Digital Images." Microscopy Today 3, no. 1 (February 1995): 12–13. http://dx.doi.org/10.1017/s1551929500062209.

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Last months issue of this publication contained the second article article in this series on digital imaging far TEM - and listed factors that may be stimulating the recent interest in digilal imaging for TEM. Most of the factors are concerned with issues of functionality. A digital imaging system can enhance TEM operation, image storage, image processing and communication. Significantly, the surge in interest was not linked to claims that digital images have better detail than images captured using sheet film. This is a pivotal issue for some microscopists. Nevertheless, my experience has been that many rnicroscopists, even skeptical microscopists, are surprised at the quality of output from a modern digital imaging system when using a high quality output device to produce hard copy images.

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22

Smith, Jack. "Automatic Satellite Identification in Digital Images." Research Notes of the AAS 6, no. 11 (November 10, 2022): 234. http://dx.doi.org/10.3847/2515-5172/aca152.

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Abstract Using a digital camera on the roof of the Royal Observatory, Edinburgh, images are continuously captured of the sky on a nightly basis to image satellites which pass overhead. Such satellites are seen in images as short lines since satellites move much quicker in the sky than stars, and up to 100 satellites can be imaged in one night. Using these images, software was developed (GitHub repository for code & documentation: https://github.com/Jack6228/STM_Final, or DOI: https://doi.org/10.5281/zenodo.7304283.) to use known catalogs of artificial objects which orbit the Earth to determine which satellites can be seen in each image. This was achieved by comparing the expected positions of satellites in the catalog to those observed by the camera to identify matches. Overall, the project was a success and satellites are able to be identified approximately 85% of the time, which could help track space debris in a cheaper manner in a world where space is becoming increasingly more polluted.

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23

Che Omar, Siti Shuwaibah, Wan Muhamad Saridan Wan Hassan, Norehan Mohd Nor, Mohd Syafiq Mohd Suri, and Nurul Diyana Shariff. "Detectability of Fibrils by Dilation Technique in Digital Mammography." Malaysian Journal of Fundamental and Applied Sciences 17, no. 4 (August 31, 2021): 446–56. http://dx.doi.org/10.11113/mjfas.v17n4.2134.

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The detectability of fibrils in mammographic phantom images by morphological enhancement was analysed in the present study. Materials that mimic fibrils were imaged by a digital mammography machine at 28 and 29 kVP. The images were processed by a dilation technique to produce second set of images. Receiver operating characteristic analysis was performed to compare the detection performance from the two sets of images. As compared to original images, the 28 kVP’s fibrils images from dilation technique become more prominence to be detected by observers. While at 29 kVP only a few observers can found the fibrils images from dilation technique. This study suggests morphological enhancement of mammography image did not increase the detection of low frequency signals of the images.

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24

Shivajirao Shinde, Bhausaheb. "The Origins of Digital Image Processing & Application areas in Digital Image Processing Medical Images." IOSR Journal of Engineering 1, no. 1 (November 2011): 66–71. http://dx.doi.org/10.9790/3021-0116671.

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25

Fraundorf, P. "Digital Darkfield Analysis of Lattice Fringe Images with ImageJ." Microscopy and Microanalysis 20, S3 (August 2014): 824–25. http://dx.doi.org/10.1017/s1431927614005844.

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26

Pantanowitz, Liron. "Digital images and the future of digital pathology." Journal of Pathology Informatics 1, no. 1 (2010): 15. http://dx.doi.org/10.4103/2153-3539.68332.

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27

Hayder, Israa M., Hussain A. Younis, and Hameed Abdul-Kareem Younis. "Digital Image Enhancement Gray Scale Images In Frequency Domain." Journal of Physics: Conference Series 1279 (July 2019): 012072. http://dx.doi.org/10.1088/1742-6596/1279/1/012072.

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28

Lo, Chun-Chi, and Yu-Chen Hu. "A novel reversible image authentication scheme for digital images." Signal Processing 98 (May 2014): 174–85. http://dx.doi.org/10.1016/j.sigpro.2013.11.028.

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29

Agreste, Santa, Guido Andaloro, Daniela Prestipino, and Luigia Puccio. "An image adaptive, wavelet-based watermarking of digital images." Journal of Computational and Applied Mathematics 210, no. 1-2 (December 2007): 13–21. http://dx.doi.org/10.1016/j.cam.2006.10.087.

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30

Das, Ananya, Feng Li, and Suryakanth Gurudu. "Digital Image Analysis of Endoscopic Images of Diminutive Polyps." American Journal of Gastroenterology 103 (September 2008): S178. http://dx.doi.org/10.14309/00000434-200809001-00462.

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31

Chang, Chin-Chen, Jun-Chou Chuang, and Yih-Shin Hu. "Retrieving digital images from a JPEG compressed image database." Image and Vision Computing 22, no. 6 (June 2004): 471–84. http://dx.doi.org/10.1016/j.imavis.2003.11.008.

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32

Adamsen, J. F. "Digital image processing of satellite images and aerial photos." Journal of Applied Geophysics 29, no. 1 (February 1992): 63. http://dx.doi.org/10.1016/0926-9851(92)90023-e.

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33

Forsey, A., and S. Gungor. "Demosaicing images from colour cameras for digital image correlation." Optics and Lasers in Engineering 86 (November 2016): 20–28. http://dx.doi.org/10.1016/j.optlaseng.2016.05.006.

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34

Ivasic-Kos, Marina. "Application of Digital Images and Corresponding Image Retrieval Paradigm." ENTRENOVA - ENTerprise REsearch InNOVAtion 8, no. 1 (November 10, 2022): 350–63. http://dx.doi.org/10.54820/entrenova-2022-0030.

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We live in a world where digital images are constantly generated during our daily activities, whether private or business. They play an important role in our private life, showing important moments, people, places, or events and keeping their memory. Images are unavoidable in business, especially in digital marketing, web sales, social networks, medicine, security, and education. In general, images contribute to a better understanding of the message, increase the attractiveness of textual content, provide a better user experience, and can convey emotion quickly. The key advantage of the image is that very often, even a cursory glance at the image is enough to convey a message and arouse emotion and interest. But with the increase in digital image numbers, storage, organization, and retrieval problems arise. The paper describes the importance of images in different areas of application and different image retrieval paradigms that include text-based, content-based, and combined approaches. Also, the most popular image search tools and cloud storage services are compared and discussed. The conclusion comments on the applicability of existing approaches to image searches in different application domains and highlights the advantages and disadvantages of each of the approaches.

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35

López P., Alejandra, Ángela Castillo M., and Valeria Buttinghausen G. "Tomosíntesis digital mamaria: puesta al día." Revista Hospital Clínico Universidad de Chile 27, no. 1 (March 1, 2016): 46–54. http://dx.doi.org/10.5354/2735-7996.2016.71116.

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Conventional mammography has been used for decades for breast cancer screening. Its limitations are well known and are partly related to the fact that with conventional imaging, the three-dimensional volume of the breast is imaged and presented in a two-dimensional format, which leads to low sensitivity in detecting some cancers and high false-positive recall rates. Digital breast tomosynthesis consists in the acquisition of several low dose images from slightly different angles which are then sent to a computer that uses the data to generate 3-D images, providing breast images which are virtually free from superimposition. This is in particular important in cases of high mammographic density to differentiate real masses and architectural distortions from the overlying parenchyma. Digital breast tomosynthesis has shown decreased false-positive callback rates and increased rates of cancer detection, resulting in increased sensitivity and specificity, without a significant increase in the radiation dose.

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36

Vasilenko, V. V., A. P. Safronov, A. A. Smyslov, D. P. Tseplayev, and A. N. Markovsky. "Harmonic Smoothing of Digital Images." Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation 17, no. 1 (March 31, 2020): 8–15. http://dx.doi.org/10.31429/vestnik-17-1-2-8-15.

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37

Kavyn, Ya M., B. Ya Kavyn, S. Ya Kavyn, and O. M. Kavyn. "A model of digital images." Computer Technologies of Printing 2, no. 44 (2020): 81–87. http://dx.doi.org/10.32403/2411-9210-2020-2-44-81-87.

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38

Price, Robert L. "Inappropriate Manipulation of Digital Images." Microscopy Today 29, no. 2 (March 2021): 7. http://dx.doi.org/10.1017/s1551929521000079.

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39

MAMOUNI, Ismail. "From digital images to barcodes." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 2 (April 25, 2020): 1952–58. http://dx.doi.org/10.30534/ijatcse/2020/161922020.

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40

Lee, Jun Haeng. "Handling digital images for publication." Science Editing 1, no. 2 (August 18, 2014): 58–61. http://dx.doi.org/10.6087/kcse.2014.1.58.

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41

Zhi, Jin. "Digital Compositing for Moving Images." International Journal of the Arts in Society: Annual Review 3, no. 3 (2008): 11–20. http://dx.doi.org/10.18848/1833-1866/cgp/v03i03/35484.

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42

Kim, Hyang-Ja, and Young-Sam Kim. "Virtuality in Digital Fashion Images." Journal of the Korean society of clothing and textiles 39, no. 2 (April 30, 2015): 233. http://dx.doi.org/10.5850/jksct.2015.39.2.233.

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43

Agata, Mari. "Towards collation with digital images." Library and Information Science 53 (January 25, 2006): 1–17. http://dx.doi.org/10.46895/lis.53.1.

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44

Hall, J. D., and W. E. Howard. "Digital Images of Core Photographs." SPE Computer Applications 6, no. 02 (March 1, 1994): 5–8. http://dx.doi.org/10.2118/24450-pa.

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45

Hogg, Christopher. "Preparing digital images for publication." Annals of The Royal College of Surgeons of England 86, no. 1 (January 1, 2004): 56. http://dx.doi.org/10.1308/003588404772614795.

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46

RAMASUBRAMANIAN, S. V., and KAMALA KRITHIVASAN. "FINITE AUTOMATA AND DIGITAL IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 04 (June 2000): 501–24. http://dx.doi.org/10.1142/s0218001400000325.

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In this paper, we initially consider representation of 2D black–white images and 3D objects using finite state automata. We describe transformation of scaling on the 2D image by an operation on the FSA. We also give constructions for getting the projections of a 3D object on to coordinate planes and for reconstructing the 3D object from its projections. We define minimization of nondeterministic FSAs and give an O(e2) (e is the number of edges in the FSA) algorithm for minimization of NFAs. Later, we define a WFA and describe various properties of WFA. We define four normal forms of WFA and show how a WFA can be normalized into any of these forms. We show the equivalence of WFAs with ∊ edges and ∊-free WFAs. Then, we define minimization of WFAs and present an algorithm to minimize a WFA.

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47

KOVALEVSKY, VLADIMIR. "CURVATURE IN DIGITAL 2D IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 07 (November 2001): 1183–200. http://dx.doi.org/10.1142/s0218001401001283.

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The paper presents an analysis of sources of errors when estimating derivatives of numerical or noisy functions. A method of minimizing the errors is suggested. When being applied to the estimation of the curvature of digital curves, the analysis shows that under the conditions typical for digital image processing the curvature can rarely be estimated with a precision higher than 50%. Ways of overcoming the difficulties are discussed and a new method for estimating the curvature is suggested and investigated as to its precision. The method is based on specifying boundaries of regions in gray value images with subpixel precision. The method has an essentially higher precision than the known methods.

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48

Parikesit, Gea Oswah Fatah. "Digital 3D Wayang Kulit images." International Journal of Arts and Technology 9, no. 4 (2016): 380. http://dx.doi.org/10.1504/ijart.2016.081333.

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49

Parikesit, Gea Oswah Fatah. "Digital 3D Wayang Kulit images." International Journal of Arts and Technology 9, no. 4 (2016): 380. http://dx.doi.org/10.1504/ijart.2016.10002400.

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50

Pritt, Bobbi, Pamela Gibson, and Kumarasen Cooper. "Digital Manipulation of Pathologic Images." International Journal of Surgical Pathology 14, no. 1 (January 2006): 107. http://dx.doi.org/10.1177/106689690601400121.

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