Academic literature on the topic 'JPEG 2000'

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Journal articles on the topic "JPEG 2000"

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Ono, Fumitaka. "JPEG 2000." Journal of The Institute of Image Information and Television Engineers 64, no. 9 (2010): 1339–43. http://dx.doi.org/10.3169/itej.64.1339.

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Ebrahimi, Touradj, Charilaos Christopoulos, and Daniel T. Lee. "JPEG 2000." Signal Processing: Image Communication 17, no. 1 (January 2002): 1–2. http://dx.doi.org/10.1016/s0923-5965(01)00031-5.

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Haggag, Ayman, Mohamed Ghoneim, Jianming Lu, and Takashi Yahagi. "Access Control and Scalable Encryption Using a Stream Cipher for JPEG 2000 Encoded Images." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 7 (September 20, 2007): 728–34. http://dx.doi.org/10.20965/jaciii.2007.p0728.

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The access control and scalable encryption scheme we propose for JPEG 2000 encoded images encrypts JEPG 2000 codestreams using the SNOW 2 progressive encryption algorithm to encrypt resolutions, quality layers, or packets independently to provide resolution, quality or fine-grain scalability. Access is controlled to different image resolutions or quality levels granted to different users receiving the same encrypted JPEG 2000 codestream but having different decryption keys. Keys used with successive resolutions or quality layers are mutually dependent based on the SHA-256 one-way hashing function. Encrypted JPEG 2000 codestreams are transcoded by an intermediate untrusted network transcoder, without decryption and without access to decryption keys. Our encryption scheme preserves most of the inherent flexibility of JPEG 2000 encoded images and is carefully designed to produce encrypted codestreams backward-compatible with JPEG 2000 compliant decoders.
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Emami, S. "Transmission diversity for JPEG 2000." Electronics Letters 37, no. 23 (2001): 1383. http://dx.doi.org/10.1049/el:20010939.

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Bernier, Richard. "An Introduction to JPEG 2000." Library Hi Tech News 23, no. 7 (August 2006): 26–27. http://dx.doi.org/10.1108/07419050610704349.

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Au, K. M., N. F. Law, and W. C. Siu. "Unified feature analysis in JPEG and JPEG 2000-compressed domains." Pattern Recognition 40, no. 7 (July 2007): 2049–62. http://dx.doi.org/10.1016/j.patcog.2006.11.009.

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OH, TICK HUI, and ROSLI BESAR. "MEDICAL IMAGE COMPRESSION USING JPEG-2000 AND JPEG: A COMPARISON STUDY." Journal of Mechanics in Medicine and Biology 02, no. 03n04 (September 2002): 313–28. http://dx.doi.org/10.1142/s021951940200054x.

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Due to the constrained bandwidth and storage capacity, medical images must be compressed before transmission and storage. However, compression will reduce image fidelity, especially when the image is compressed of lower bit rate, which cannot be tolerated in medical field. In this paper, the compression performance of the new JPEG-2000 and the more conventional JPEG is studied. The parameters used for comparison include the compression efficiency, peak signal-to-noise ratio (PSNR), picture quality scale (PQS), and mean opinion score (MOS). Three types of medical images are used — X-ray, magnetic resonance imaging (MRI) and ultrasound. Overall, the study shows that JPEG-2000 compression is more acceptable and superior compare to JPEG for lossy compression.
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Wei Yu, Fangting Sun, and J. E. Fritts. "Efficient rate control for JPEG-2000." IEEE Transactions on Circuits and Systems for Video Technology 16, no. 5 (May 2006): 577–89. http://dx.doi.org/10.1109/tcsvt.2006.873161.

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Barina, David, and Ondrej Klima. "JPEG 2000: guide for digital libraries." Digital Library Perspectives 36, no. 3 (June 4, 2020): 249–63. http://dx.doi.org/10.1108/dlp-03-2020-0014.

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Purpose The joint photographic experts group (JPEG) 2000 image compression system is being used for cultural heritage preservation. The authors are aware of over a dozen of big memory institutions worldwide using this format. This paper aims to review and explain choices for end users to help resolve trade-offs that these users are likely to encounter in practice. Design/methodology/approach The JPEG 2000 format is quite complex and therefore sometimes considered as a preservation risk. A lossy compression is governed by a number of parameters that control compression speed and rate-distortion trade-off. Their inappropriate adjustment may fairly easily lead to sub-optimal compression performance. This paper provides general guidelines for selecting the most appropriate parameters for a specific application. Findings This paper serves as a guide for the preservation of digital heritage in cultural heritage institutions, including libraries, archives and museums. Originality/value This paper serves as a guide for the preservation of digital heritage in cultural heritage institutions, including libraries, archives and museums.
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Lee, D. T. "JPEG 2000: Retrospective and New Developments." Proceedings of the IEEE 93, no. 1 (January 2005): 32–41. http://dx.doi.org/10.1109/jproc.2004.839613.

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Dissertations / Theses on the topic "JPEG 2000"

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Nguyen, Anthony Ngoc. "Importance Prioritised Image Coding in JPEG 2000." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16005/1/Anthony_Nguyen_Thesis.pdf.

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Importance prioritised coding is a principle aimed at improving the interpretability (or image content recognition) versus bit-rate performance of image coding systems. This can be achieved by (1) detecting and tracking image content or regions of interest (ROI) that are crucial to the interpretation of an image, and (2)compressing them in such a manner that enables ROIs to be encoded with higher fidelity and prioritised for dissemination or transmission. Traditional image coding systems prioritise image data according to an objective measure of distortion and this measure does not correlate well with image quality or interpretability. Importance prioritised coding, on the other hand, aims to prioritise image contents according to an 'importance map', which provides a means for modelling and quantifying the relative importance of parts of an image. In such a coding scheme the importance in parts of an image containing ROIs would be higher than other parts of the image. The encoding and prioritisation of ROIs means that the interpretability in these regions would be improved at low bit-rates. An importance prioritised image coder incorporated within the JPEG 2000 international standard for image coding, called IMP-J2K, is proposed to encode and prioritise ROIs according to an 'importance map'. The map can be automatically generated using image processing algorithms that result in a limited number of ROIs, or manually constructed by hand-marking OIs using a priori knowledge. The proposed importance prioritised coder coder provides a user of the encoder with great flexibility in defining single or multiple ROIs with arbitrary degrees of importance and prioritising them using IMP-J2K. Furthermore, IMP-J2K codestreams can be reconstructed by generic JPEG 2000 decoders, which is important for interoperability between imaging systems and processes. The interpretability performance of IMP-J2K was quantitatively assessed using the subjective National Imagery Interpretability Rating Scale (NIIRS). The effect of importance prioritisation on image interpretability was investigated, and a methodology to relate the NIIRS ratings, ROI importance scores and bit-rates was proposed to facilitate NIIRS specifications for importance prioritised coding. In addition, a technique is proposed to construct an importance map by allowing a user of the encoder to use gaze patterns to automatically determine and assign importance to fixated regions (or ROIs) in an image. The importance map can be used by IMP-J2K to bias the encoding of the image to these ROIs, and subsequently to allow a user at the receiver to reconstruct the image as desired by the user of the encoder. Ultimately, with the advancement of automated importance mapping techniques that can reliably predict regions of visual attention, IMP-J2K may play a significant role in matching an image coding scheme to the human visual system.
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Nguyen, Anthony Ngoc. "Importance Prioritised Image Coding in JPEG 2000." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16005/.

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Importance prioritised coding is a principle aimed at improving the interpretability (or image content recognition) versus bit-rate performance of image coding systems. This can be achieved by (1) detecting and tracking image content or regions of interest (ROI) that are crucial to the interpretation of an image, and (2)compressing them in such a manner that enables ROIs to be encoded with higher fidelity and prioritised for dissemination or transmission. Traditional image coding systems prioritise image data according to an objective measure of distortion and this measure does not correlate well with image quality or interpretability. Importance prioritised coding, on the other hand, aims to prioritise image contents according to an 'importance map', which provides a means for modelling and quantifying the relative importance of parts of an image. In such a coding scheme the importance in parts of an image containing ROIs would be higher than other parts of the image. The encoding and prioritisation of ROIs means that the interpretability in these regions would be improved at low bit-rates. An importance prioritised image coder incorporated within the JPEG 2000 international standard for image coding, called IMP-J2K, is proposed to encode and prioritise ROIs according to an 'importance map'. The map can be automatically generated using image processing algorithms that result in a limited number of ROIs, or manually constructed by hand-marking OIs using a priori knowledge. The proposed importance prioritised coder coder provides a user of the encoder with great flexibility in defining single or multiple ROIs with arbitrary degrees of importance and prioritising them using IMP-J2K. Furthermore, IMP-J2K codestreams can be reconstructed by generic JPEG 2000 decoders, which is important for interoperability between imaging systems and processes. The interpretability performance of IMP-J2K was quantitatively assessed using the subjective National Imagery Interpretability Rating Scale (NIIRS). The effect of importance prioritisation on image interpretability was investigated, and a methodology to relate the NIIRS ratings, ROI importance scores and bit-rates was proposed to facilitate NIIRS specifications for importance prioritised coding. In addition, a technique is proposed to construct an importance map by allowing a user of the encoder to use gaze patterns to automatically determine and assign importance to fixated regions (or ROIs) in an image. The importance map can be used by IMP-J2K to bias the encoding of the image to these ROIs, and subsequently to allow a user at the receiver to reconstruct the image as desired by the user of the encoder. Ultimately, with the advancement of automated importance mapping techniques that can reliably predict regions of visual attention, IMP-J2K may play a significant role in matching an image coding scheme to the human visual system.
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Oh, Han, Ali Bilgin, and Michael Marcellin. "Visually Lossless JPEG 2000 for Remote Image Browsing." MDPI AG, 2016. http://hdl.handle.net/10150/621987.

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Image sizes have increased exponentially in recent years. The resulting high-resolution images are often viewed via remote image browsing. Zooming and panning are desirable features in this context, which result in disparate spatial regions of an image being displayed at a variety of ( spatial) resolutions. When an image is displayed at a reduced resolution, the quantization step sizes needed for visually lossless quality generally increase. This paper investigates the quantization step sizes needed for visually lossless display as a function of resolution, and proposes a method that effectively incorporates the resulting ( multiple) quantization step sizes into a single JPEG 2000 codestream. This codestream is JPEG 2000 Part 1 compliant and allows for visually lossless decoding at all resolutions natively supported by the wavelet transform as well as arbitrary intermediate resolutions, using only a fraction of the full-resolution codestream. When images are browsed remotely using the JPEG 2000 Interactive Protocol ( JPIP), the required bandwidth is significantly reduced, as demonstrated by extensive experimental results.
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Tovslid, Magnus Jeffs. "JPEG 2000 Quality Scalability in an IP Networking Scenario." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18465.

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In this thesis, the JPEG 2000 quality scalability feature was investigated in thecontext of transporting video over IP networks. The goals of the investigation wastwo-fold. First, it was desired to nd a way of choosing the number of quality layersto embed in a JPEG 2000 codestream. In previous work, this choice has been moreor less arbitrary. Second, it was desired to nd how low the video bitrate could bedropped before it became perceptible to a viewer. This information can be usedin an IP networking scenario to e.g. adapt the video bitrate blindly according tothe measured channel capacity as long as the drop in bitrate is expected to beimperceptible. When the drop in bitrate is expected to be perceptible, a switchcould be made to a smoother bitrate adaptation.A way of choosing the total number of quality layers to embed in a codestreamwas found by minimizing the dierence in predicted quality between direct andscaled compression. Scaled compression is the compression which is achieved byextracting quality layers. The minimization procedure was bound by the speed ofthe encoder, as it takes longer for an encoder to embed more quality layers. It wasfound that the procedure was highly dependent on the desired bitrate range.A subjective test was run in order to measure how large a drop in video bitrate hadto be for it to become perceptible. A newly developed JPEG 2000 quality layerscaler was used to produce the dierent bitrates in the test. The number of qualitylayers to embed in codestream was found by using the minimization procedurementioned above. It was found that, for the bitrate range used in the test, 2 - 30Mbits/s for a resolution of 1280x720 at 25 frames per second, the magnitude ofthe drop in bitrate had to be at least 10 Mbits/s before the participants in the testnoticed it. A comparison with objective quality metrics, SSIM and PSNR, revealedthat it was very dicult to predict the visibility of the drops in bitrate by usingthese metrics. Designing the type of rate control mentioned in the rst paragraphwill therefore have to wait until a parameter with good predictive properties canbe found.
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Aouadi, Imed. "Optimisation de JPEG 2000 sur système sur puce programmable." Paris 11, 2005. https://pastel.archives-ouvertes.fr/pastel-00001658.

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Récemment le domaine du traitement de l’image, de la vidéo, et l’audio a connu plusieurs évolutions importantes au niveau des algorithmes et des architectures. L’une de ces évolutions est l’apparition du nouveau standard ISO/IEC de compression d’image JPEG2000 qui succède à JPEG. Ce nouveau standard présente de nombreuses fonctionnalités et caractéristiques qui lui permettent d’être adapté à une large panoplie d’applications. Mais ces caractéristiques se sont accompagnées d’une complexité algorithmique beaucoup plus élevée que JPEG et qui le rend très difficile à optimiser pour certaines implémentations ayant des contraintes très sévères en terme de surface, de temps d’exécution ou de consommation d’énergie ou de l’ensemble de ces contraintes. L’une des étapes clé dans le processus de compression JPEG2000 est le codeur entropique qui constitue à lui seul environ 70% du temps de traitement global pour la compression d’une image. Il est donc essentiel d’analyser les possibilités d’optimisation d’implémentations de JPEG2000. Les circuits FPGA sont aujourd’hui les principaux circuits reconfigurables disponibles sur le marché. S’ils ont longtemps été utilisés uniquement pour le prototypage des ASIC, ils sont aujourd’hui en mesure de fournir une solution efficace à la réalisation matérielle d’applications dans de nombreux domaines. Vu le progrès que connaît l’industrie des composants FPGA du point de vue capacité d’intégration et fréquence de fonctionnement, les architectures reconfigurables constituent aujourd’hui une solution efficace et compétitive pour répondre aussi bien aux besoins du prototypage qu’à ceux des implémentations matérielles
Recently the field of video, image and audio processing has experienced several significant progresses on both the algorithms and the architectures levels. One of these evolutions is the emergence of the new ISO/IEC JPEG2000 image compression standard which succeeds to JPEG. This new standard presents many functionalities and features which allows it to be adapted to a large spectrum of applications. However, these features bring up new algorithmic complexities of higher degree than those of JPEG which in turn makes it very difficult to be optimized for certain implementations under very hard constraints. Those constraints could be area, timing or power constraints or more likely all of them. One of the key steps during the JPEG2000 processing is entropy coding that takes about 70 % of the total execution time when compressing an image. It is therefore essential to analyze the potentialities of optimizations of implementations of JPEG2000. FPGA devices are currently the main reconfigurable circuits available on the market. Although they have been used for a long time only for ASIC prototyping, they are able today to provide an effective solution to the hardware implementation of applications in many fields. Considering the progress experienced by the FPGA semiconductor industry on integration capacity and working frequency, reconfigurable architectures are now an effective and competitive solution to meet the needs of both prototyping and final hardware implementations. In this work we propose a methodology for the study of the possibilities of implementation of JPEG2000. This study starts with the evaluation of software implementations on commercial platforms
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Taylor, James Cary, Jacklynn Hall, and Tony Yuan. "Dean's Innovation Challenge: Researching the JPEG 2000 Image Decoder." Thesis, The University of Arizona, 2012. http://hdl.handle.net/10150/244833.

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The goal of this thesis is to analyze the current commercialization process of the University of Arizona as well as the Office of Technology Transfer, or OTT, and potential opportunities for strengthening the process. This will be done through an initial review of a patented technology, JPEG 2000 Corrupt Codestream Decoder, as well as its parent technology, JPEG 2000 image standard. The JPEG 2000 decoder is used to decode corrupt images that are transferred in real time, in order to utilize the "usable" information as efficiently as possible. The technology itself will be analyzed, including the strengths and weaknesses, and areas of opportunities. Next, the commercialization history of the technology will also be looked upon, such as patent dates, related licensees, and direction of the technology. Emphasis will be placed on processes and environments that helped the technology, as well as those that have hindered it. More specifically, since the technology was never implemented in a commercialized setting, there will be a glance as to why the technology was not successfully licensed and commercialized. Finally, the commercialization process of OTT will be examined, in a broader context that applies to all technologies that OTT deals with. This will look at the tasks of OTT, shortfalls of the Office, as well as the process of commercialization. Once all items are addressed, areas of recommendations will be described with the aim of improving the efficiency and resourcefulness of OTT.
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Park, Min Jee, Jae Taeg Yu, Myung Han Hyun, and Sung Woong Ra. "A Development of Real Time Video Compression Module Based on Embedded Motion JPEG 2000." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596452.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
In this paper, we develop a miniaturized real time video compression module (VCM) based on embedded motion JPEG 2000 using ADV212 and FPGA. We consider layout of components, values of damping resistors, and lengths of the pattern lines for optimal hardware design. For software design, we consider compression steps to monitor the status of the system and make the system robust. The weight of the developed VCM is approximately 4 times lighter than the previous development. Furthermore, experimental results show that the PSNR is increased about 3dB and the compression processing time is approximately 2 times faster than the previous development.
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Erlid, Frøy Brede Tureson. "MCTF and JPEG 2000 Based Wavelet Video Coding Compared to the Future HEVC Standard." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elektronikk og telekommunikasjon, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18822.

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Video and multimedia content has over the years become an important part of our everyday life. At the same time, the technology available to consumers has become more and more advanced. These technologies, such as streaming services and advanced displays, has enabled us to watch video content on a large variety of devices, from small, battery powered mobile phones to large TV-sets.Streaming of video over the Internet is a technology that is getting increasingly popular. As bandwidth is a limited resource, efficient compression techniques are clearly needed. The wide variety of devices capable of streaming and displaying video suggest a need for scalable video coders, as different devices might support different sets of resolutions and frame rates.As a response to the demands for efficient coding standards, VCEG and MPEG are jointly developing an emerging video compression standard called High Efficiency Video Coding (HEVC). The goal for this standard is to improve the coding efficiency as compared to H.264, without affecting image quality. A scalable video coding extension to HEVC is also planned to be developed.HEVC is based on the classic hybrid coding approach. This however, is not the only way to compress video, and attention is given to wavelet coders in the literature. JPEG 2000 is a wavelet image coder that offers spatial and quality scalability. Combining JPEG 2000 with Motion Compensated Temporal Filtering (MCTF) gives a wavelet video coder which offers both temporal, spatial and quality scalability, without the need for complex extensions.In this thesis, a wavelet video coder based on the combination of MCTF and JPEG 2000 was implemented. This coder was compared to HEVC by performing objective and subjective assessments, with the use case being streaming of video with a typical consumer broadband connection. The objective assessment showed that HEVC was the superior system in terms of both PSNR and SSIM. The subjective assessment revealed that observers preferred the distortion produced by HEVC over the proposed system. However, the results also indicated that improvements to the proposed system can be made that could possibly enhance the objective and subjective quality. In addition, indications were also found that suggest that a use case operating with higher bit rates is more suitable for the proposed system.
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Ye, Wei. "Development of a Remote Medical Image Browsing and Interaction System." Wright State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1278676228.

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Lucero, Aldo. "Compressing scientific data with control and minimization of the L-infinity metric under the JPEG 2000 framework." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Books on the topic "JPEG 2000"

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Schelkens, Peter, Athanassios Skodras, and Touradj Ebrahimi, eds. The JPEG 2000 Suite. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470744635.

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Peter, Schelkens, Skodras Athanassios, and Ebrahimi Touradj, eds. The JPEG 2000 suite. Chichester, West Sussex, U.K: J. Wiley, 2009.

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Ebrahimi, Touradj, Peter Schelkens, and Athanassios Skodras. JPEG 2000 Suite. Wiley & Sons, Incorporated, John, 2009.

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Ebrahimi, Touradj, Peter Schelkens, and Athanassios Skodras. JPEG 2000 Suite. Wiley & Sons, Limited, John, 2009.

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Ebrahimi, Touradj, Peter Schelkens, and Athanassios Skodras. JPEG 2000 Suite. Wiley & Sons, Incorporated, John, 2009.

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JPEG 2000 Compression of Direct Digital Images: Effects on the Detection of Periapical Radiolucencies and Perceived Image Quality. Storming Media, 2003.

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News, World Spaceflight. Hubble Space Telescope (HST) Image Collection - High Resolution Image Files in JPEG, GIF, TIF and PDF formats with over 2000 Spectacular Photos of Stars, Planets, Galaxies, and more. Progressive Management, 2002.

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American Society for Parenteral Enteral Nutrition Staff. Set of Guidelines and Standards for the Use of Perenteral and Enteral Nutrition in Adult and Pediatric Patients Jpen (Jpen (Journal of Parenteral and Enteral ... 26, #1, Supplement, January-February 2002). Kendall/Hunt Publishing Company, 2002.

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News, World Spaceflight. 21st Century Complete Guide to Mars Exploration: 2001 Mars Odyssey THEMIS Image Collection ¿ Thermal Emission Imaging System Images of Mars in PDF, JPG, TIF, and GIF Formats (Four CD-ROM Set). Progressive Management, 2003.

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Book chapters on the topic "JPEG 2000"

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Man, Hong, Alen Docef, and Faouzi Kossentini. "JPEG 2000 Image Coding Standard." In Encyclopedia of Multimedia, 379–86. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_99.

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Barina, David, Ondrej Klima, and Pavel Zemcik. "Single-Loop Architecture for JPEG 2000." In Lecture Notes in Computer Science, 346–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33618-3_35.

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Chen, Chung-Hao, Yi Yao, David L. Page, Besma Abidi, Andreas Koschan, and Mongi Abidi. "Objective Image Quality Evaluation for JPEG, JPEG 2000, and Vidware VisionTM." In Advances in Image and Video Technology, 751–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949534_75.

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Gormish, Michael, and Serene Banerjee. "Tile-Based Transport of JPEG 2000 Images." In Visual Content Processing and Representation, 217–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39798-4_28.

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Fournier, Régis, and Amine Naït-ali. "Multimodal Compression Using JPEG 2000: Supervised Insertion Approach." In Signal and Image Multiresolution Analysis, 225–43. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118568767.ch3.

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Jiang, Jianmin, Baofeng Guo, and Pengjie Li. "Extracting Shape Features in JPEG-2000 Compressed Images." In Advances in Information Systems, 123–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36077-8_12.

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Gerlek, Michael P., and Matthew Fleagle. "Imaging on the Geospatial Web Using JPEG 2000." In Advanced Information and Knowledge Processing, 27–38. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-827-2_3.

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Falcón-Ruiz, Alexander, Juan Paz-Viera, and Hichem Sahli. "Estimating Quality Bounds of JPEG 2000 Compressed Leukocytes Images." In Advances in Pattern Recognition, 107–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15992-3_12.

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Park, Ha-Joong, and Ho-Youl Jung. "JPEG-2000 Compressed Image Retrieval Using Partial Entropy Decoding." In Multimedia Content Representation, Classification and Security, 410–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11848035_55.

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Falcón-Ruiz, A., J. E. Paz-Viera, A. Taboada-Crispí, and H. Sahli. "Automatic Bound Estimation for JPEG 2000 Compressing Leukocytes Images." In V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba, 547–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-21198-0_140.

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Conference papers on the topic "JPEG 2000"

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Bruylants, T., J. Barbarien, A. Munteanu, and P. Schelkens. "Perceptual quality assessment of JPEG, JPEG 2000, and JPEG XR." In SPIE Photonics Europe, edited by Peter Schelkens, Touradj Ebrahimi, Gabriel Cristóbal, Frédéric Truchetet, and Pasi Saarikko. SPIE, 2010. http://dx.doi.org/10.1117/12.853857.

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Chinen, Troy T., Thomas J. Flohr, and Michael W. Marcellin. "TCQ in JPEG 2000." In International Symposium on Optical Science and Technology, edited by Andrew G. Tescher. SPIE, 2000. http://dx.doi.org/10.1117/12.411575.

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Nachtergaele, Lode, Peter Schelkens, Sven Wuytack, Jan G. Bormans, Ivo Bolsens, and Jan P. Cornelis. "Comparison of memory complexity of JPEG and JPEG 2000." In International Symposium on Optical Science and Technology, edited by Andrew G. Tescher. SPIE, 2000. http://dx.doi.org/10.1117/12.411573.

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Jimenez-Rodriguez, L., F. Auli-Llinas, M. W. Marcellin, and J. Serra-Sagrista. "Visually Lossless JPEG 2000 Decoder." In 2013 Data Compression Conference (DCC). IEEE, 2013. http://dx.doi.org/10.1109/dcc.2013.25.

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Foshee, Scott. "Workflow opportunities using JPEG 2000." In International Symposium on Optical Science and Technology, edited by Andrew G. Tescher. SPIE, 2002. http://dx.doi.org/10.1117/12.467858.

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Woolston, Tom L., Niel Holt, Gail Bingham, and Glen Wada. "A JPEG 2000 demonstration board." In Optics & Photonics 2005, edited by Bormin Huang, Roger W. Heymann, and Charles C. Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.621753.

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Dufaux, Frederic, and Touradj Ebrahimi. "Video surveillance using JPEG 2000." In Optical Science and Technology, the SPIE 49th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2004. http://dx.doi.org/10.1117/12.564828.

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Islam, Asad, Fehmi Chebil, and Mohamed Miled. "JPEG 2000 for wireless applications." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2003. http://dx.doi.org/10.1117/12.512536.

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Suenaga, Takatoshi, Jerome Meessen, Yannick Verschueren, and Benoit M. M. Macq. "JPEG 2000 over mail protocol." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2003. http://dx.doi.org/10.1117/12.512543.

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Dufaux, Frederic, and Touradj Ebrahimi. "Securing JPEG 2000 compressed images." In Optical Science and Technology, SPIE's 48th Annual Meeting, edited by Andrew G. Tescher. SPIE, 2003. http://dx.doi.org/10.1117/12.512554.

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Reports on the topic "JPEG 2000"

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Buckley, Robert. JPEG 2000 - a Practical Digital Preservation Standard? Digital Preservation Coalition, February 2008. http://dx.doi.org/10.7207/twr08-01.

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Futemma, S., E. Itakura, and A. Leung. RTP Payload Format for JPEG 2000 Video Streams. RFC Editor, October 2008. http://dx.doi.org/10.17487/rfc5371.

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Singer, D., R. Clark, and D. Lee. MIME Type Registrations for JPEG 2000 (ISO/IEC 15444). RFC Editor, April 2004. http://dx.doi.org/10.17487/rfc3745.

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Orandi, Shahram, John M. Libert, John D. Grantham, Kenneth Ko, Stephen S. Wood, and Jin Chu Wu. Effects of JPEG 2000 image compression on 1000 ppi fingerprint imagery. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7778.

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Brislawn, Christopher M. Wavelet-Smoothed Interpolation of Masked Scientific Data for JPEG 2000 Compression. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1048835.

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Orandi, Shahram, John M. Libert, Michael D. Garris, John D. Grantham, and Frederick R. Byers. JPEG 2000 CODEC Certification Guidance for 1000 ppi Fingerprint Friction Ridge Imagery. National Institute of Standards and Technology, June 2015. http://dx.doi.org/10.6028/nist.sp.500-300.

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Orandi, Shahram, John Libert, John Grantham, Mike Garris, and Fred Byers. JPEG 2000 CODEC Certification Guidance for 1000 ppi Fingerprint Friction Ridge Imagery. National Institute of Standards and Technology, June 2021. http://dx.doi.org/10.6028/nist.sp.500-300-upd.

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Leung, A., S. Futemma, and E. Itakura. Payload Format for JPEG 2000 Video: Extensions for Scalability and Main Header Recovery. RFC Editor, October 2008. http://dx.doi.org/10.17487/rfc5372.

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Orandi, Shahram, John M. Libert, John D. Grantham, Frederick R. Byers, Lindsay M. Petersen, and Michael D. Garris. Effects of JPEG 2000 Lossy Image Compression on 1000 ppi Latent Fingerprint Casework. National Institute of Standards and Technology, October 2013. http://dx.doi.org/10.6028/nist.ir.7780.

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Libert, John M., Shahram Orandi, and John D. Grantham. Comparison of the WSQ and JPEG 2000 image compression algorithms on 500 ppi fingerprint imagery. Gaithersburg, MD: National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7781.

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