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Relevant bibliographies by topics / Digital imaging

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Academic literature on the topic 'Digital imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Digital imaging"

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YOUNG, K. C. "Recent developments in digital mammography." Imaging 18, no. 2 (June 2006): 68–74. http://dx.doi.org/10.1259/imaging/24202756.

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Eato, Richard. "Digital imaging." Nursing Standard 6, no. 44 (July 22, 1992): 50. http://dx.doi.org/10.7748/ns.6.44.50.s61.

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Algra, Paul R., and Frits H. Barneveld Binkhuysen. "Digital Imaging." Radiology 193, no. 2 (November 1994): 412. http://dx.doi.org/10.1148/radiology.193.2.412.

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Schiff, Thomas. "DIGITAL IMAGING." Journal of the American Dental Association 137, no. 2 (February 2006): 153. http://dx.doi.org/10.14219/jada.archive.2006.0130.

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Hyatt, Julius. "DIGITAL IMAGING." Journal of the American Dental Association 139, no. 8 (August 2008): 2. http://dx.doi.org/10.14219/jada.archive.2008.0293.

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Truckenbroad, Joan. "Digital imaging." ACM SIGGRAPH Computer Graphics 31, no. 4 (November 1997): 43. http://dx.doi.org/10.1145/271247.271273.

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Wiggins, Richard H. "Digital imaging." Seminars in Ultrasound, CT and MRI 24, no. 6 (December 2003): 404–9. http://dx.doi.org/10.1053/j.sult.2003.09.007.

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Wong, H. S. P., and A. J. P. Theuwissen. "Digital Imaging." IEEE Micro 18, no. 6 (November 1998): 12–13. http://dx.doi.org/10.1109/mm.1998.743679.

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Daniel, Gregory B. "Digital Imaging." Veterinary Clinics of North America: Small Animal Practice 39, no. 4 (July 2009): 667–76. http://dx.doi.org/10.1016/j.cvsm.2009.04.003.

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Editorial, Article. "DIGITAL IMAGING, TELERADIOLOGY." Diagnostic radiology and radiotherapy 12, no. 1S (April 4, 2021): 183. http://dx.doi.org/10.22328/2079-5343-2021-12-s-183-183.

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Dissertations / Theses on the topic "Digital imaging"

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Wittwer, Christian. "Fundamentals of digital imaging /." Online version of thesis, 1995. http://hdl.handle.net/1850/12257.

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Velasco, J. Cabello. "High throughput digital autoradiography imaging." Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510588.

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Walls, Kirsty. "Nanophotonic filters for digital imaging." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4514/.

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There has been an increasing demand for low cost, portable CMOS image sensors because of increased integration, and new applications in the automotive, mobile communication and medical industries, amongst others. Colour reproduction remains imperfect in conventional digital image sensors, due to the limitations of the dye-based filters. Further improvement is required if the full potential of digital imaging is to be realised. In alternative systems, where accurate colour reproduction is a priority, existing equipment is too bulky for anything but specialist use. In this work both these issues are addressed by exploiting nanophotonic techniques to create enhanced trichromatic filters, and multispectral filters, all of which can be fabricated on-chip, i.e. integrated into a conventional digital image sensor, to create compact, low cost, mass produceable imaging systems with accurate colour reproduction. The trichromatic filters are based on plasmonic structures. They exploit the excitation of surface plasmon resonances in arrays of subwavelength holes in metal films to filter light. The currently-known analytical expressions are inadequate for optimising all relevant parameters of a plasmonic structure. In order to obtain arbitrary filter characteristics, an automated design procedure was developed that integrated a genetic algorithm and 3D finite-difference time-domain tool. The optimisation procedure's efficacy is demonstrated by designing a set of plasmonic filters that replicate the CIE (1931) colour matching functions, which themselves mimic the human eye's daytime colour response. The best designs were fabricated and demonstrated a least-mean-square error, in comparison to the desired colour matching functions, of 6.37*10^3, 2.34*10^3 and 11.10*10^3 for the red, green, and blue filters respectively. Notably the spectrum for the red filter contained a double peak, as present in the corresponding colour matching function. Such dual peak behaviour cannot be achieved using a single current dye-based filter. The filters retain the same layer thickness for all structures so they can be defined in a single lithography step. A new approach to enable the fabrication of a multispectral filter array on a CMOS imager is also presented. This combines a Fabry-Perot filter with effective medium theory (EMT) to enable the fabrication of multiple filters in a single cavity length via lithographic tuning of the filter passband. Two approaches are proposed; air-filled nanostructures and dielectric backfilled nanostructures. The air-filled approach is demonstrated experimentally producing three filters with FWHM of 60 - 64 nm. Using the backfilled design, and incorporating a highindex cavity material, a set of twenty three narrowband filters, with a FWHM of 22 - 46nm is demonstrated. A virtual image reproduction process was developed to quantify the image reproduction performance of both the plasmonic and Fabry-Perot filter sets. A typical rgb dye-based filter set used in conventional imagers achieves a mean colour error of 2.711, whereas the experimental data from the plasmonic filters achieves an error of 2.222 which demonstrated a slight improvement in colour reproduction. The multispectral filter set developed in this work performed even better, with 4 filters giving an error of 0.906, 10 filters an error of 0.072 and continued improvement in the colour error reaching 0.047 for 23 filters. All the filter sets proposed are fully compatible with the CMOS process so as to enable direct integration onto CMOS image sensors in industrial foundries in future. The performance of the presented filters also suggest new compact applications in art reproduction, agricultural monitoring and medical imaging.

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Spencer, Timothy. "Digital imaging of the retina." Thesis, University of Aberdeen, 1992. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=124209.

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In this study, fluorescein angiograms of the ocular fundus have been digitised to enable them to be processed and analysed by computer. A fully automated technique for counting microaneurysms (MA) in these images was developed with a view to producing an objective, accurate and highly repeatable way of quantifying these lesions. Prior to any other image processing, a number of pre-processing stages were applied in order to compensate for non-uniformaties and to remove the background fluorescence component present in all the images. Matched filters modelled on two-dimensional Gaussian distributions were employed to detect MA in the 'shade-corrected' images. A binary image representation of the vascular network was constructed. This 'vessel mask', used in conjunction with the original match-filtered images, enabled MA to be detected by grey-level thresholding the filtered images. The resulting binary objects could then be counted by the computer as MA. The automated technique was assessed by comparing the computer's results for six fluorescein angiograms with MA counts obtained by ophthalmologists analysing both analogue and digital images. The performance of both man and machine were judged with respect to 'gold standards' compiled from prints of the original negatives. The best results were obtained by the clinicians analysing the analogue prints, although they differed greatly in their ability to detect microaneurysms. The computer performed better than the clinicians when they were counting MA in the digital images and produced highly repeatable results. To improve the performance of the automated technique, images were captured at approximately four times the previous spatial resolution and a smaller area of each image was analysed. Additionally, more complex image-processing techniques were employed to increase the accuracy of the computer analysis. Although the performance of the automated technique was improved, the computer results only matched those of the clinicians' analogue analyses for two of the images.

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Wolf, Michael Trevor. "Digital holographic imaging of microorganisms." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36684.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (leaf 25).
Imaging aquatic microorganisms in 3D space is of interest to biologists and ocean scientists seeking to understand the behavior of these organisms in their natural environments. In this research, digital holographic imaging (DHI), with a 4f system providing transverse magnification of 9.1, is used to study such microorganisms. To test the imaging technique, DHI was used to locate and track 10 micrometer Dunaliella freely swimming in a 30 milliliter tank of artificial ocean water. Multiple holograms were recorded onto one frame with laser pulsing to identify short algae trajectories. An automatic algae locating program was designed, but the signal to noise ratio was too low, and therefore the program could only locate algae reliably with manual confirmation. With refinement to the experimental setup, the signal to noise ratio could be increased, and this imaging technique could be used to analyze many systems of aquatic microorganisms interacting in a 3D space.
by Michael Trevor Wolf.
S.B.

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Amba, Prakhar. "Learning methods for digital imaging." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAS011/document.

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Pour produire des images couleurs nous devons obtenir l'information relative aux trois couleurs primaires (généralement Rouge, Vert et Bleu) à chaque pixels de l'image. Pour capturer cette information la plupart des caméras numériques utilisent une matrice de filtres couleurs (CFA – Color Filter Array en anglais), c'est-à-dire qu'une mosaïque de couleurs recouvre le capteur de manière à ce qu'une seule couleur soit mesurée à chaque position dans l'image.Cette méthode de mesure est similaire à celle du système visuel humain (HVS – Human Visual System en anglais) pour lequel les cônes LMS (sensibles aux longues L, moyenne M et courte S (short en anglais)) forment également une mosaïque à la surface de la rétine. Pour le système visuel, l'arrangement est aléatoire et change entre les individus alors que pour les caméras nous utilisons des arrangements réguliers. Dans les caméras, on doit interpoler les couleurs manquantes pour retrouver une image couleur totalement résolue, méthode appelée démosaïçage. A cause de l'arrangement régulier ou périodique des filtres couleurs, l'image démosaïçée peut faire apparaître des fausses couleurs ou des artefacts. Dans la littérature, les algorithmes de démosaïçage adressent principalement les mosaïques régulières.Dans cette thèse, nous proposons un algorithme de démosaïçage par apprentissage statistique, qui peut être utilisé avec n’importe quelle mosaïque régulière ou aléatoire. De plus, nous optimisons l’arrangement des couleurs dans la mosaïque et proposons des mosaïques qui, avec notre méthode, offrent des performances supérieures aux meilleures méthodes appliquées aux mosaïques régulières. Les images démosaïçées à partir de ces mosaïques ne présentent pas de fausses couleurs ou artefacts.Nous avons étendu l’algorithme pour qu’il ne soit pas limité à trois couleurs mais puisse être utilisé pour un arrangement aléatoire d’un nombre quelconque de filtres spectraux. Avoir plus de trois couleurs permet non seulement de mieux représenter les images mais aussi de mesurer des signatures spectrales de la scène. Ces mosaïques sont appelées matrice de filtres spectraux (SFA – Spectral Filter Array en anglais). Les technologies récentes nous offrent une grande flexibilité pour définir les filtres spectraux et par démosaïçage nous pouvons obtenir des couleurs plus justes et une estimation de la radiance spectrale de la scène. Le substrat silicium dans lequel les photodiodes du capteur sont réalisées est sensible aux radiations proche infra-rouge et donc des filtres visibles et proche infra-rouge peuvent-être combinés dans la même mosaïque. Cette combinaison est particulièrement utile pour le nouveau challenge des caméras numérique d’obtenir des images couleurs en vision de nuit à basse lumière.Nous démontrons l'application de notre algorithme pour plusieurs exemples de cameras récentes équipées d'une matrice de filtres spectraux. Nous montrons que notre méthode est plus performante que les algorithmes actuels en terme de qualité d'image et de vitesse de calcul. Nous proposons également d'optimiser les transmissions des filtres et leur arrangement pour améliorer les résultats selon des métriques ou applications choisies.La méthode, basée sur la minimisation de l'erreur quadratique moyenne est linéaire et par conséquent rapide et applicable en temps réel. Finalement, pour défier la nature linéaire de notre algorithme, nous proposons un deuxième algorithme de démosaïçage par réseaux de neurones qui à des performances légèrement meilleures mais pour un coût de calcul supérieur
To produce color images we need information of three primary colors (notably Red, Green and Blue) at each pixel point. To capture this information most digital cameras utilize a Color Filter Array (CFA), i.e. a mosaic arrangement of these colors is overlaid on the sensor such that only one color is sampled at one pixel.This arrangement is similar to the Human Visual System (HVS) wherein a mosaic of LMS cones (for sensitivity to Long, Medium and Short wavelength) forms the surface of the retina. For HVS, the arrangement is random and differs between individuals, whereas for cameras we use a regular arrangement of color filters. For digital cameras one needs to interpolate the missing colors to recover the full color image and this process is known as demosaicing. Due to regular or periodic arrangement of color filters the output demosaiced image is susceptible to false colors and artifacts. In literature, the demosaicing algorithms proposed so far cater mainly to regular CFAs.In this thesis, we propose an algorithm for demosaicing which can be used to demosaic any random or regular CFA by learning statistics of an image database. Further, we optimize and propose CFAs such that they outperform even the state of art algorithms on regular CFAs. At the same time the demosaiced images from proposed CFAs are free from false colors and artifacts.We extend our algorithm such that it is not limited to only three colors but can be used for any random arrangement of any number of spectral filters. Having more than three colors allows us to not only record an image but to record a spectral signature of the scene. These mosaics are known as Spectral Filter Arrays (SFAs). Recent technological advances give us greater flexibility in designing the spectral filters and by demosaicing them we can get more accurate colors and also do estimation of spectral radiance of the scene. We know that silicon is inherently sensitive to Near-Infrared radiation and therefore both Visible and NIR filters can be combined on the same mosaic. This is useful for low light night vision cameras which is a new challenge in digital imaging.We demonstrate the applicability of our algorithm on several state of the art cameras using these novel SFAs. In this thesis, we demonstrate that our method outperforms the state of art algorithms in image quality and computational efficiency. We propose a method to optimize filters and their arrangement such that it gives best results depending on metrics and application chosen.The method based on minimization of mean square error is linear in nature and therefore very fast and suitable for real time applications. Finally to challenge the linear nature of LMMSE we propose a demosaicing algorithm using Neural Networks training on a small database of images which is slightly better than the linear demosaicing however, it is computationally more expensive

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Datodi, Mark. "Digital imaging: Creating new realities." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1999. https://ro.ecu.edu.au/theses/1253.

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More and more it is becoming increasingly difficult to discern photo reality from digital reality. Digital imagery is revolutionising photography and challenging preconceived notions of this art form. Over the years, photography has been viewed metaphorically as a window on the world and on the past. No longer however, is the creation of photographic imagery reliant upon its intrinsic relationship with reality. Using computer technology original photographic material can be altered, manipulated and seamlessly combined with other fictional imagery without obvious detection and with relative ease. The proliferation of digital imaging is producing two apparent crises for photography. The first is the perceived threat to photography, involving the fear that traditional photographic processes, methods and product will be superseded by manipulated digital images passing themselves off as real photographs. Added to these growing concerns for photography's longevity, is the prospect that viewers will no longer believe m photography as a deliverer of objective truth and that the medium itself will lose its power as a 'privileged conveyer of information'(Batchen, 1994,p.47). The second crisis pertains to ethical concerns that these digital simulations raise: copyright, moral rights and artistic integrity.

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Cabello, Velasco J. "High throughput digital beta autoradiography imaging." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/844626/.

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This thesis presents three main strands of work concerned with developing digital imaging for high throughput beta autoradiography. These three strands comprise work with the image sensor technology, Monte Carlo simulation and the use of post-acquisition image analysis based on image registration. In this way, the complete autoradiography imaging chain is addressed. CCD and CMOS imaging technologies are presented as potential imaging alternatives to using conventional film in autoradiography. These digital technologies exhibit enhanced sensitivity, dynamic range and linearity compared to film using imaging methods developed at Surrey. These imaging methods address the different sources of noise typically present in CCD and CMOS technologies. Tissue imaging using 3H, 35S and 121I, the typical radioisotopes used by the Drug Addiction Group in the School of Biomedical and Biological Sciences, is presented. The first successful images of 3H-labelled tissue sections using CCD and CMOS technologies operating at room temperature are presented as one of the main achievements of this work. To better understand the image creation process some preliminary Monte Carlo simulations, using the GEANT4 toolkit, have been undertaken, demonstrating intrinsic and extrinsic key parameters of these digital sensors that can be used to optimise spatial resolution. These simulations demonstrate that each radioisotope requires a different optimum detector architecture. In this work these optimum architectures are analysed. To support the high sensitivity (i.e. fast) imaging produced by the sensor technology, automated post-acquisition analysis is also considered, using an atlas-based image registration approach, by previously aligning automatically segmented biological landmarks using a feature-based extraction approach, region growing. This has the potential to speed up the post-acquisition analysis aspects of the imaging chain. Thus a computer-based tool designed to semi-automatically elastically register a radiogram with an atlas has been developed.

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Domínguez-Caballero, José Antonio. "Digital holographic imaging of aquatic species." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35655.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 160-174).
The aim of this thesis is to design, develop and implement a digital holographic imaging (DHI) system, capable of capturing three-dimensional (3D) images of aquatic species. The images produced by this system are used in a non-intrusive manner to characterize the abundance, morphology and 3D location of the aquatic species. The DHI system operates by recording the hologram produced by the interference between a reference wave and the wave scatter by a coherently illuminated object with a charge-couple-device (CCD). The recorded hologram contains information about the amplitude and phase of the optical field as modified by the object. This optical field is retrieved by numerical algorithms, which enable the reconstruction of the field at different distances relative to the detector from a single hologram. The recording of the holograms with the CCD allows the implementation of image post-processing techniques intended to enhance the reconstructed images. A description of the optimization of the reconstruction by means of an auto-scan algorithm and the reconstruction of large holograms are discussed. It is found that the in-line single-beam experimental set-up is the most suitable configuration for underwater imaging of aquatic species.
(cont.) This is experimentally verified by imaging brine shrimp and copepods under various conditions. Small, sub-10um features of the objects were successfully resolved. It is also found that by using configurations with a spherical reference wave, resolutions comparable to those obtained by a conventional optical microscope can be achieved in a "lens-free" approach with larger working distances.
by José Antonio Domínguez-Caballero.
S.M.

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Luo, Wen. "Assessment of Tooth Colour using Digital Imaging." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485749.

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As tooth whitening has become a popular and routine dental procedure, the measurement of tooth colour, especially for the evaluation of the efficacy of the tooth-whitening products, has become important. One of the instrumental methods of assessing tooth whiteness is digital photography. The aim of this study was to develop a digital imaging method in colorimetry of human teeth which could be used for evaluating the efficacy of tooth-whitening products. The successful use .of a tooth-imaging system for assessing tooth whiteness relies upon two things: precise and preferably accurate colour-rendering for teeth, and an appropriate whiteness scale or index for quantifying the tooth whiteness according to human perception. These two things are the main objectives needed to be achieved in this study. The development of the tooth-imaging system consists of two essential procedures: calibration and characterisation. The imaging system was firstly calibrated according to the requirements of clinical tooth-colour measurement, including accurate control of the intensity of the light source with the aid of software. For camera characterisation, besides the traditional methods, efforts were made by choosing training samples that are physically similar to real human teeth for the characterisation model to improve the accuracy of the system. Two cameras were evaluated and several characterisation models were compared. Moreover, uncertainties involved in the clinical tooth-colour measurement were investigated as a complementarity to the performance of the tooth-imaging system. In order to find the relationship between the objective measurements and visual assessments of tooth whiteness, psychophysical experiments were conducted in a controlled viewing condition as well as a typical clinical viewing condition. A whiteness index for quantifying tooth whiteness was proposed and its performance was compared with some existing whiteness/yellowness indices. Finally, the validation of the tooth-imaging system and the tooth-whiteness index were assessed under the conditions of clinical whitening trials. In addition to the tooth-whiteness study, the gloss of tooth, as one part of the tooth appearance, was investigated on a gonio-imaging system which was verified by results from the repeatability test and the tooth-etching experiments.

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Books on the topic "Digital imaging"

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Les, Horvat, ed. Digital imaging. 3rd ed. Amsterdam: Elsevier/Focal Press, 2005.

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Branch, Great Britain Home Office Police Scientific Development. Digital imaging procedure. St Albans: Police Scientific Development Branch, 2002.

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Buda, Andrew J., and Edward J. Delp, eds. Digital Cardiac Imaging. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-4996-6.

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Fernandez-Maloigne, Christine, Frédérique Robert-Inacio, and Ludovic Macaire, eds. Digital Color Imaging. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2012. http://dx.doi.org/10.1002/9781118561966.

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Parkin, Alan. Digital Imaging Primer. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-540-85619-1.

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J, Buda Andrew, and Delp Edward J, eds. Digital cardiac imaging. Boston: Nijhoff, 1985.

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Dave, DeVries, and Rosen Marvin J, eds. Photography & digital imaging. 5th ed. Dubuque, Iowa: Kendall/Hunt Pub. co., 2002.

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Dave, DeVries, ed. Photography & digital imaging. 5th ed. Dubuque, Ia: Kendall/Hunt Pub. Co., 2005.

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Gaurav, Sharma, ed. Digital color imaging handbook. Boca Raton, FL: CRC Press, 2003.

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Project, Digital Document Storage, and NASA Scientific and Technical Information Facility., eds. Digital imaging technology assessment. Linthicum Heights, Md: RMS Associates, 1989.

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Book chapters on the topic "Digital imaging"

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Earnshaw, Rae. "Digital Imaging." In State of the Art in Digital Media and Applications, 29–44. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61409-0_4.

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Amin, Milon, Anil V. Parwani, and Liron Pantanowitz. "Digital Imaging." In Practical Informatics for Cytopathology, 129–45. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9581-9_14.

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Price, Jeffery B., and Marcel E. Noujeim. "Digital Imaging." In Clinical Applications of Digital Dental Technology, 1–26. Chichester, UK: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119045564.ch1.

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Jerome, W. Gray. "Digital Imaging." In Basic Confocal Microscopy, 135–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97454-5_6.

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Coates, Amanda. "Specimen Imaging." In Digital Mammography, 219–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-04831-4_26.

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Coates, Amanda, and Rachel Reilly. "Specimen Imaging." In Digital Mammography, 337–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10898-3_31.

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Seeram, Euclid. "Medical Imaging Informatics." In Digital Radiography, 85–95. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6522-9_10.

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Parkin, Alan. "Digital Imaging Fundamentals." In Computing Colour Image Processing, 15–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74076-8_2.

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Smith, Jan, and Roman Joost. "Digital Imaging Projects." In GIMP for Absolute Beginners, 131–66. Berkeley, CA: Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-3169-1_6.

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Lam, Ernest W. N. "Intraoral Digital Imaging." In Endodontic Radiology, 43–48. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119421689.ch4.

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Conference papers on the topic "Digital imaging"

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Fleischer, Jason. "Digital Nonlinear Imaging." In Imaging Systems and Applications. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/isa.2015.im1a.4.

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Kychakoff, George, and Ronald K. Hanson. "Digital Flowfield Imaging." In Physics and Engineering of Computerized Multidimensional Imaging and Processing, edited by Thomas F. Budinger, Zang-Hee Cho, and Orhan Nalcioglu. SPIE, 1986. http://dx.doi.org/10.1117/12.966680.

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Rao, A. Ravishankar, and Alejandro Jaimes. "Digital stereoscopic imaging." In Electronic Imaging '99, edited by John O. Merritt, Mark T. Bolas, and Scott S. Fisher. SPIE, 1999. http://dx.doi.org/10.1117/12.349375.

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Ikeda, S., J. Yoshizawa, M. Kamiya, T. Sano, M. Tsuneoka, S. Kasai, and J. Harada. "Digital Data Recorder for Digital Cardio Angiography System." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.953304.

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Thiemert, Stefan, Martin Steinebach, and Huajian Liu. "Digital watermarking for digital cinema." In IS&T/SPIE Electronic Imaging, edited by Edward J. Delp III, Jana Dittmann, Nasir D. Memon, and Ping Wah Wong. SPIE, 2009. http://dx.doi.org/10.1117/12.816490.

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Orri, Xavier, Joan-Maria Mas, and Benoit M. M. Macq. "Digital rights language support for evolving digital cinema requirements." In Electronic Imaging 2003, edited by Edward J. Delp III and Ping W. Wong. SPIE, 2003. http://dx.doi.org/10.1117/12.479737.

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Zhao, Wei, Ruvin Deych, and Enrico Dolazza. "Optimization of operational conditions for direct digital mammography detectors for digital tomosynthesis." In Medical Imaging, edited by Michael J. Flynn. SPIE, 2005. http://dx.doi.org/10.1117/12.597301.

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8

Ipus Bados, Erick F., Armin J. M. Lenz, Lluís Matínez León, Jesús Lancis, and Enrique Tajahuerce. "Parallel single-pixel imaging based on the self-imaging effect." In Digital Optical Technologies 2023, edited by Bernard C. Kress and Jürgen W. Czarske. SPIE, 2023. http://dx.doi.org/10.1117/12.2675927.

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9

Green, Phil J. "Digital graphic networks." In Electronic Imaging '99, edited by Giordano B. Beretta and Reiner Eschbach. SPIE, 1998. http://dx.doi.org/10.1117/12.334555.

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Gutierrez, R. C., T. K. Tang, R. Calvet, and E. R. Fossum. "MEMS digital camera." In Electronic Imaging 2007, edited by Russel A. Martin, Jeffrey M. DiCarlo, and Nitin Sampat. SPIE, 2007. http://dx.doi.org/10.1117/12.723439.

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Reports on the topic "Digital imaging"

1

Nicholas, Andrew. Digital Imaging Star Camera. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531850.

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2

Doty, F. Patrick. Advanced digital detectors for neutron imaging. Office of Scientific and Technical Information (OSTI), December 2003. http://dx.doi.org/10.2172/918230.

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3

Sickles, Edward A. A Digital Breast Imaging Teaching File. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada335824.

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4

Brady, David J. Distributed Optoelectronic Processing of Multidimensional Digital Imaging. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada406120.

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5

Burstein, Paul, and Jim Youngberg. X-Ray MegaVolt Digital Imaging Inspection System. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada435412.

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6

Nichols, R. L., and C. A. Eddy. Three dimensional digital imaging of environmental data. Office of Scientific and Technical Information (OSTI), June 1991. http://dx.doi.org/10.2172/5671213.

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7

Luey, K. T., D. P. Taylor, D. J. Coleman, and K. A. Folgner. Digital Imaging and Analysis of Particulate Contamination. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada464149.

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8

Dowski, Edward R., and Jr. Hybrid Optical/Digital Imaging for Automatic Inspection. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada384516.

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9

Nichols, R. L., and C. A. Eddy. Three dimensional digital imaging of environmental data. Office of Scientific and Technical Information (OSTI), June 1991. http://dx.doi.org/10.2172/10130494.

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10

Sebastian, James. Digital Imaging Suite for Nondestructive Evaluation of Materials. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada398766.

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