Academic literature on the topic 'JPEG'

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Journal articles on the topic "JPEG"

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LICKS, Renata, Vania FONTANELLA, Célia Regina Winck MAHL, and Sérgio MIGUENS JUNIOR. "A Manipulação Temporária de Arquivos JPEG afeta a densidade optica das imagens?" Revista da Faculdade de Odontologia de Porto Alegre 46, no. 1 (January 26, 2005): 5–7. http://dx.doi.org/10.22456/2177-0018.7601.

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Para avaliar se a manipulação temporária de imagens digitais armazenadas no formato JPEG altera a sua densidade óptica, 26 radiografias periapicais de arquivo foram digitalizadas através de scanner, armazenadas no formato JPEG 12 e digfitalmente reproduzidas três vezes. Um dos conjuntos não sofreu alterações e foi denominado JPEGd. Nos demais, as imagens foram importadas para o programa Adobe Photoshop e submetidas a uma ou duas alterações, as quais foram desfeitas, sendo salvas, constituindo os conjuntos JPEG1a e JPEG2a, respectivamente. O programa ImageLab foi utilizado para a subtração digital dos seguintes pares de imagens: JPEG x JPEGd; JPEG x JPEG1a e JPEG x JPEG2a. Foram obtidos os valores médios de densidade óptica, bem como o desvio-padrão de cada imagem. Em todas elas o valor médio foi 128, contudo observou-se variabilidade quanto ao desvio-padrão. Os desvios-padrão médios (0,50, 1,47 e 1,50, para JPEGd, JPEG1a e JPEG2a, respectivamente) de cada grupo foram submetidos à Análise de Variância, utilizando o delineamento em blocos casualizados, complementada pelo Teste de Comparações Múltiplas Dunnet T3. Foram encontradas diferenças significativas nos valores de desvio-padrão entre os grupos JPEG x JPEGd e JPEG x JPEG1a/JPEG x JPEG2a. Conclui-se que a manipulação de arquivos JPEG não interfere no valor médio de densidade óptica, contudo leva ao aumento do seu desvio-padrão, o que pode interferir nos estudos dessa natureza.
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Jamil, Sonain, Oh-Jin Kwon, Jinhee Lee, Faiz Ullah, Yaseen, and Afnan. "A Novel Multimedia Player for International Standard—JPEG Snack." Journal of Imaging 9, no. 3 (March 1, 2023): 58. http://dx.doi.org/10.3390/jimaging9030058.

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The advancement in mobile communication and technologies has led to the usage of short-form digital content increasing daily. This short-form content is mainly based on images that urged the joint photographic experts’ group (JPEG) to introduce a novel international standard, JPEG Snack (International Organization for Standardization (ISO)/ International Electrotechnical Commission (IEC) IS, 19566-8). In JPEG Snack, the multimedia content is embedded into a main background JPEG file, and the resulting JPEG Snack file is saved and transmitted as a .jpg file. If someone does not have a JPEG Snack Player, their device decoder will treat it as a JPEG file and display a background image only. As the standard has been proposed recently, the JPEG Snack Player is needed. In this article, we present a methodology to develop JPEG Snack Player. JPEG Snack Player uses a JPEG Snack decoder and renders media objects on the background JPEG file according to the instructions in the JPEG Snack file. We also present some results and computational complexity metrics for the JPEG Snack Player.
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Pinheiro, Antonio. "JPEG column: 87th JPEG meeting." ACM SIGMultimedia Records 12, no. 2 (June 2020): 1. http://dx.doi.org/10.1145/3548562.3548566.

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The 87th JPEG meeting initially planned to be held in Erlangen, Germany, was held online from 25-30, April 2020 because of the Covid-19 outbreak. JPEG experts participated in a number of online meetings attempting to make them as effective as possible while considering participation from different time zones, ranging from Australia to California, U.S.A.
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Pinheiro, Antonio. "JPEG column: 89th JPEG meeting." ACM SIGMultimedia Records 12, no. 4 (December 2020): 1. http://dx.doi.org/10.1145/3548580.3548583.

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JPEG initiates standardisation of image compression based on AI. The 89th JPEG meeting was held online from 5 to 9 October 2020. During this meeting, multiple JPEG standardisation activities and explorations were discussed and progressed. Notably, the call for evidence on learning-based image coding was successfully completed and evidence was found that this technology promises several new functionalities while offering at the same time superior compression efficiency, beyond the state of the art. A new work item, JPEG AI, that will use learning-based image coding as core technology has been proposed, enlarging the already wide families of JPEG standards.
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Pinheiro, Antonio. "JPEG column: 88th JPEG meeting." ACM SIGMultimedia Records 12, no. 3 (September 2020): 1. http://dx.doi.org/10.1145/3548570.3548574.

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Pinheiro, Antonio. "JPEG column: 74th JPEG meeting." ACM SIGMultimedia Records 8, no. 4 (July 28, 2017): 1. http://dx.doi.org/10.1145/3129151.3129154.

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Pinheiro, Antonio. "JPEG Column: 91st JPEG Meeting." ACM SIGMultimedia Records 13, no. 2 (June 2021): 1. http://dx.doi.org/10.1145/3577941.3577945.

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The 91st JPEG meeting was held online from 19 to 23 April 2021. This meeting saw several activities relating to holographic coding, notably the release of the JPEG Pleno Holography Call for Proposals, consolidated with the definition of the use cases and requirements for holographic coding and common test conditions that will assure the evaluation of the future proposals.
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Pinheiro, Antonio. "JPEG Column: 90th JPEG Meeting." ACM SIGMultimedia Records 13, no. 1 (March 2021): 1. http://dx.doi.org/10.1145/3577934.3577937.

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The 90th JPEG meeting was held online from 18 to 22 January 2021. This meeting was distinguished by very relevant activities, notably the new JPEG AI standardization project planning, and the analysis of the Call for Evidence on JPEG Pleno Point Cloud Coding.
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Pinheiro, Antonio. "JPEG Column: 93rd JPEG Meeting." ACM SIGMultimedia Records 13, no. 4 (December 2021): 1. http://dx.doi.org/10.1145/3578508.3578512.

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The 93rd JPEG meeting was held online from 18 to 22 October 2021. The JPEG Committee continued its work on the development of new standardised solutions for the representation of visual information. Notably, the JPEG Committee has decided to release a new call for proposals on point cloud coding based on machine learning technologies that targets both compression efficiency and effective performance for 3D processing as well as machine and computer vision tasks. This activity will be conducted in parallel with JPEG AI standardization. Furthermore, it was also decided to pursue the development of a new standard in the context of the exploration on JPEG Fake News activity.
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Pinheiro, Antonio. "JPEG Column: 92nd JPEG Meeting." ACM SIGMultimedia Records 13, no. 3 (September 2021): 1. http://dx.doi.org/10.1145/3578495.3578501.

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Dissertations / Theses on the topic "JPEG"

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Caplan, Paul Lomax. "JPEG : the quadruple object." Thesis, Birkbeck (University of London), 2013. http://bbktheses.da.ulcc.ac.uk/32/.

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The thesis, together with its practice-research works, presents an object-oriented perspective on the JPEG standard. Using the object-oriented philosophy of Graham Harman as a theoretical and also practical starting point, the thesis looks to provide an account of the JPEG digital object and its enfolding within the governmental scopic regime. The thesis looks to move beyond accounts of digital objects and protocols within software studies that position the object in terms of issues of relationality, processuality and potentiality. From an object-oriented point of view, the digital object must be seen as exceeding its relations, as actual, present and holding nothing in reserve. The thesis presents an account of JPEG starting from that position as well as an object-oriented account of JPEG’s position within the distributed, governmental scopic regime via an analysis of Facebook’s Timeline, tagging and Haystack systems. As part of a practice-research project, the author looked to use that perspective within photographic and broader imaging practices as a spur to new work and also as a “laboratory” to explore Harman’s framework. The thesis presents the findings of those “experiments” in the form of a report alongside practice-research eBooks. These works were not designed to be illustrations of the theory, nor works to be “analysed”. Rather, following the lead of Ian Bogost and Mark Amerika, they were designed to be “philosophical works” in the sense of works that “did” philosophy.
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Günther, Emanuel. "Entwicklung eines JPEG-Dateianalysators." Hochschule für Technik und Wirtschaft, 2021. https://htw-dresden.qucosa.de/id/qucosa%3A76129.

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Die Arbeit befasst sich mit der Verbesserung und Erweiterung eines bestehenden Softwareprojektes zum Streaming von JPEG-Bildern per RTP. In diesem Projekt werden JPEG-Bilder aus MJPEG-Dateien von einem Server zum Client übertragen. Um eine fehlerfreie Übertragung zu gewährleisten, soll zuvor die Eignung der Dateien für eine solche geprüft werden. Die entsprechenden Anforderungen finden sich in RFC 2435, welcher die Übertragung von JPEG-Bildern per RTP standardisiert. Zur Automatisierung der Überprüfung wurde diese in einem eigenen Programm implementiert. Weitere Verbesserungen wurden hinsichtlich der Ausführbarkeit des Projektes auf verschiedener Hardware getroffen. So wurden interne Algorithmen verbessert, um auch auf schwächerer Hardware einen flüssigen Ablauf zu ermöglichen. Außerdem wurde die Kompatibilität der RTSP-Implementierung im Projekt mit jener im VLC Media Player hergestellt. Zuletzt wurde das Softwareprojekt hinsichtlich der Verschlüsselung der Übertragung erweitert. Die Grundlage dafür legt die Anlayse von Anforderungen an die Verschlüsselung von Mediendaten. Es wurden zwei verschiedene Verfahren betrachtet und implementiert: Zum einen das weitverbreitete SRTP-Protokoll, zum anderen eine eigene JPEG-Verschlüsselung. Anschließend wurde die Komplexität der Entwicklung eines Verschlüsselungsverfahrens gezeigt, indem das selbst ent wickelte Verfahren durch einen Ersetzungsangriff gebrochen wurde.
This work deals with the improvement and extension of an existing software project for streaming JPEG images via RTP. In the project JPEG images are read in from MJPEG files and transmitted from a server to a client. To guarantee a faultless transmission the fitness of the files for transmission should be checked. The corresponding requirements can be found in RFC 2435 in which the transmission of JPEG images via RTP is standardized. An automation of this verification is realized in an own program. Further improvements are done in regard to the executability of the project on different hardware. Internal algorithms are improved to get a smooth execution even on weaker hardware. Additionally the compatibility of the implementation of RTSP in the project with that in the VLC Media Player is established. Finally the software project is extended in terms of the encryption of the transmission. The requirements of media data encryption are analyzed and used as the base for the following considerations. There are two operations which were examined and implemented: On the one hand the SRTP protocoll which is widely used. On the other hand an own JPEG encryption. Following that the complexity of developing an own encryption method is shown by breaking the developed JPEG encryption with a replacement attack.
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Jirák, Jakub. "Alternativní JPEG kodér/dekodér." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317121.

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The JPEG codec is currently the most widely used image format. This work deals with the design and implementation of an alternative JPEG codec using proximal algorithms in combination with the fixation of points from the original image to suppression of artifacts created in common JPEG coding. To solve the problem, the prox_TV and then the Douglas-Rachford algorithm were used, for which special functions using l_1-norm for image reconstruction were derived. The results of the proposed solution are very good because they can effectively suppress the artefacts created and the result corresponds to the image with a higher set qualitative factor. The proposed method achieves very good results for both simple images and photos, but in the case of large images (1024 × 1024 px) and larger, a large amount of computing time is required, so the method is more suitable for smaller images.
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Tong, Henry Hoi-Yu. "A perceptually adaptive JPEG coder." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ29417.pdf.

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Tuladhar, Punnya. "Nonattribution Properties of JPEG Quantization Tables." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1261.

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In digital forensics, source camera identification of digital images has drawn attention in recent years. An image does contain information of its camera and/or editing software somewhere in it. But the interest of this research is to find manufacturers (henceforth will be called make and model) of a camera using only the header information, such as quantization table and huffman table, of the JPEG encoding. Having done research on around 110, 000 images, we reached to state that "For all practical purposes, using quantization and huffman tables alone to predict a camera make and model isn't a viable approach". We found no correlation between quantization and huffman tables of images and makes of camera. Rather, quantization or huffman table is determined by the quality factors like resolution, RGB values, intensity etc.of an image and standard settings of the camera.
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Goodenow, Daniel P. "A reference guide to JPEG compression /." Online version of thesis, 1993. http://hdl.handle.net/1850/11714.

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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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Nguyen, Ricky D. (Ricky Do). "Rate control and bit allocations for JPEG transcoding." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41667.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (leaves 50-51).
An image transcoder that produces a baseline JPEG file from a baseline JPEG input is developed. The goal is to produce a high quality image while accurately meeting a filesize target and keeping computational complexity-especially the memory usage and number of passes at the input image--low. Building upon the work of He and Mitra, the JPEG transcoder exploits a linear relationship between the number of zero-valued quantized DCT coefficients and the bitrate. Using this relationship and a histogram of coefficients, it is possible to determine an effective way to scale the quantization tables of an image to approach a target filesize. As the image is being transcoded, an intra-image process makes minor corrections, saving more bits as needed throughout the transcoding of the image. This intra-image process decrements specific coefficients, minimizing the change in value (and hence image quality) while maximizing the savings in bitrate. The result is a fast JPEG transcoder that reliably achieves a target filesize and preserves as much image quality as possible. The proposed transcoder and several variations were tested on a set of twenty-nine images that gave a fair representation of typical JPEG photos. The evaluation metric consisted of three parts: first, the accuracy and precision of the output filesize with respect to the target filesize; second, the PSNR of the output image with respect to the original image; and third, the subjective visual image quality.
by Ricky D. Nguyen.
M.Eng.
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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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Books on the topic "JPEG"

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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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Tong, Henry Hoi-Yu. A perceptually adaptive JPEG coder. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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L, Mitchell Joan, ed. JPEG still image data compression standard. New York: Van Nostrand Reinhold, 1992.

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Maeda, Mika. JPEG compression translated into Haskell language. Oxford: Oxford Brookes University, 2004.

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Redwine, James M. Gavel gamut greetings from jpeg ranch. Bloomington, Ind: AuthorHouse, 2009.

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Gavel gamut greetings from jpeg ranch. Bloomington, Ind: AuthorHouse, 2009.

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DesignEXchange, ed. Animal patterns: 100 royalty free jpeg files. Tokyo: DesignEXchange, 2004.

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Sarkar, Abanindra N. S. Image compression using parallel processing: The JPEG method. Manchester: UMIST, 1997.

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Mali, Sapana Prakash. Unequal Power Allocation For JPEG Transmission Over MIMO System. Saarbrücken: LAP LAMBERT Academic Publishing, 2017.

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Book chapters on the topic "JPEG"

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Taubman, David S., and Michael W. Marcellin. "JPEG." In JPEG2000 Image Compression Fundamentals, Standards and Practice, 719–36. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_19.

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Rennie, Frank, and Keith Smyth. "JPEG." In Digital Learning: The Key Concepts, 89. 2nd ed. London: Routledge, 2019. http://dx.doi.org/10.4324/9780429425240-113.

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Taubman, David S., and Michael W. Marcellin. "JPEG-LS." In JPEG2000 Image Compression Fundamentals, Standards and Practice, 737–53. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_20.

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Reynders, Nele, and Wim Dehaene. "JPEG Encoder." In Analog Circuits and Signal Processing, 141–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16136-5_6.

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Bhaskaran, Vasudev, and Konstantinos Konstantinides. "The JPEG Standard." In Image and Video Compression Standards, 129–59. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2358-8_5.

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Kou, Weidong. "JPEG Compression Standard." In Digital Image Compression, 69–101. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4757-2361-8_5.

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Salomon (emeritus), David. "Transforms and JPEG." In Texts in Computer Science, 1079–146. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-886-7_24.

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Bhaskaran, Vasudev, and Konstantinos Konstantinides. "The JPEG Standard." In Image and Video Compression Standards, 147–78. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6199-6_5.

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Buchanan, William J. "Image Compression (JPEG)." In Advanced Data Communications and Networks, 61–80. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8670-2_5.

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Strutz, Tilo. "Der JPEG-Standard." In Bilddatenkompression, 143–69. Wiesbaden: Vieweg+Teubner Verlag, 2000. http://dx.doi.org/10.1007/978-3-322-91812-3_9.

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Conference papers on the topic "JPEG"

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Naveen Kumar, S., M. V. Vamshi Bharadwaj, and Shreyanka Subbarayappa. "Performance Comparison of Jpeg, Jpeg XT, Jpeg LS, Jpeg 2000, Jpeg XR, HEVC, EVC and VVC for Images." In 2021 6th International Conference for Convergence in Technology (I2CT). IEEE, 2021. http://dx.doi.org/10.1109/i2ct51068.2021.9418160.

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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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Liu, Zihao, Tao Liu, Wujie Wen, Lei Jiang, Jie Xu, Yanzhi Wang, and Gang Quan. "DeepN-JPEG." In DAC '18: The 55th Annual Design Automation Conference 2018. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3195970.3196022.

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Ward, Greg, and Maryann Simmons. "JPEG-HDR." In ACM SIGGRAPH 2005 Courses. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1198555.1198708.

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Ward, Greg, and Maryann Simmons. "JPEG-HDR." In ACM SIGGRAPH 2006 Courses. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1185657.1185685.

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Cheng, Ziqiang, and Kee-Young Yoo. "A Reversible JPEG-to-JPEG Data Hiding Technique." In 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC). IEEE, 2009. http://dx.doi.org/10.1109/icicic.2009.49.

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Mody, Mihir, Vipul Paladiya, and Kapil Ahuja. "Efficient progressive JPEG decoder using JPEG baseline hardware." In 2013 IEEE Second International Conference on Image Information Processing (ICIIP). IEEE, 2013. http://dx.doi.org/10.1109/iciip.2013.6707617.

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Grajek and Stankowski. "Rate-Distortion Optimized Quantization in Motion JPEG." In WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.29.

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Rate-Distortion Optimized Quantization (RDOQ) is an encoding optimization technique that may be applied to any transform-based compression technique preserving bitstream compliance with the standard. In the paper, the application of the RDOQ to Motion JPEG is described and evaluated. The proposed solution includes block- level optimization with picture-level Lagrange multiplier estimation. Performed evaluation results in higher compression ratios as compared to typical Motion JPEG.
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Barina, David, and Ondřej Klíma. "Region of interest in JPEG." In WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.1.

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This paper describes three methods to encode a region of interest (ROI) of arbitrary shape in the JPEG standard. The ROI is part of the image encoded with higher quality than the rest of the image. Two of the described methods are based on thresholding of DCT coefficients. The last method is based on the early termination of the entropy coding phase. All methods are fully compatible with existing JPEG decoders. Using ROI, it is possible to reduce the bitrate to only a fraction of the original value. The results in this paper show that thresholding of original DCT coefficients provides superior performance in terms of the PSNR-B index.
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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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Reports on the topic "JPEG"

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Berc, L., W. Fenner, R. Frederick, and S. McCanne. RTP Payload Format for JPEG-compressed Video. RFC Editor, October 1996. http://dx.doi.org/10.17487/rfc2035.

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Berc, L., W. Fenner, R. Frederick, S. McCanne, and P. Stewart. RTP Payload Format for JPEG-compressed Video. RFC Editor, October 1998. http://dx.doi.org/10.17487/rfc2435.

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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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Bruylants, T., A. Descampe, C. Damman, and T. Richter. RTP Payload Format for ISO/IEC 21122 (JPEG XS). RFC Editor, October 2021. http://dx.doi.org/10.17487/rfc9134.

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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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Jalan, Jaikishan. Feature selection, statistical modeling and its applications to universal JPEG steganalyzer. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/1342565.

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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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