Relevant bibliographies by topics / JPEG algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'JPEG algorithm'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "JPEG algorithm"

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Zhu, Yongjun, Wenbo Liu, Qian Shen, Yin Wu, and Han Bao. "JPEG Lifting Algorithm Based on Adaptive Block Compressed Sensing." Mathematical Problems in Engineering 2020 (July 11, 2020): 1–17. http://dx.doi.org/10.1155/2020/2873830.

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This paper proposes a JPEG lifting algorithm based on adaptive block compressed sensing (ABCS), which solves the fusion between the ABCS algorithm for 1-dimension vector data processing and the JPEG compression algorithm for 2-dimension image data processing and improves the compression rate of the same quality image in comparison with the existing JPEG-like image compression algorithms. Specifically, mean information entropy and multifeature saliency indexes are used to provide a basis for adaptive blocking and observing, respectively, joint model and curve fitting are adopted for bit rate co
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Zhan, Honghui. "Image compression and reconstruction based on GUI and Huffman coding." Journal of Physics: Conference Series 2580, no. 1 (2023): 012025. http://dx.doi.org/10.1088/1742-6596/2580/1/012025.

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Abstract Huffman coding is an important part of image compression technology, the image compression platform is based on GUI, and Huffman is also widely used. This paper introduces the basic principle of the Huffman algorithm, compares it with arithmetic coding and run length encoding, and expounds on the application of these three algorithms in JPEG compression. The AC algorithm combined block-based, fine texture models and adaptive arithmetic coding in the given an example. The RLE algorithm used automatic threshold, direction judgment, and selective value counts to improve its compression e
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Brysina, Iryna Victorivna, and Victor Olexandrovych Makarichev. "DISCRETE ATOMIC COMPRESSION OF DIGITAL IMAGES." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (December 20, 2018): 17–33. http://dx.doi.org/10.32620/reks.2018.4.02.

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The subject matter of this paper is the discrete atomic compression (DAC) of digital images, which is a lossy compression process based on the discrete atomic transform (DAT). The goal is to investigate the efficiency of the DAC algorithm. We solve the following tasks: to develop a general compression scheme using discrete atomic transform and to compare the results of DAC and JPEG algorithms. In this article, we use the methods of digital image processing, atomic function theory, and approximation theory. To compare the efficiency of DAC with the JPEG compression algorithm we use the sets of
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M.K., Bouza. "Analysis and modification of graphic data compression algorithms." Artificial Intelligence 25, no. 4 (2020): 32–40. http://dx.doi.org/10.15407/jai2020.04.032.

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The article examines the algorithms for JPEG and JPEG-2000 compression of various graphic images. The main steps of the operation of both algorithms are given, their advantages and disadvantages are noted. The main differences between JPEG and JPEG-2000 are analyzed. It is noted that the JPEG-2000 algorithm allows re-moving visually unpleasant effects. This makes it possible to highlight important areas of the image and improve the quality of their compression. The features of each step of the algorithms are considered and the difficulties of their implementation are compared. The effectivenes
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Marcelo, Alvin, Paul Fontelo, Miguel Farolan, and Hernani Cualing. "Effect of Image Compression on Telepathology." Archives of Pathology & Laboratory Medicine 124, no. 11 (2000): 1653–56. http://dx.doi.org/10.5858/2000-124-1653-eoicot.

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Abstract Context.—For practitioners deploying store-and-forward telepathology systems, optimization methods such as image compression need to be studied. Objective.—To determine if Joint Photographic Expert Group (JPG or JPEG) compression, a lossy image compression algorithm, negatively affects the accuracy of diagnosis in telepathology. Design.—Double-blind, randomized, controlled trial. Setting.—University-based pathology departments. Participants.—Resident and staff pathologists at the University of Illinois, Chicago, and University of Cincinnati, Cincinnati, Ohio. Intervention.—Compression
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Leger, Alain M. "JPEG still picture compression algorithm." Optical Engineering 30, no. 7 (1991): 947. http://dx.doi.org/10.1117/12.55896.

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Song, Hong Mei, Hai Wei Mu, and Dong Yan Zhao. "Study on Nearly Lossless Compression with Progressive Decoding." Advanced Materials Research 926-930 (May 2014): 1751–54. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1751.

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A progressive transmission and decoding nearly lossless compression algorithm is proposed. The image data are grouped according to different frequencies based on DCT transform, then it uses the JPEG-LS core algorithmtexture prediction and Golomb coding on each group of data, in order to achieve progressive image transmission and decoding. Experimentation on the standard test images with this algorithm and comparing with JPEG-LS shows that the compression ratio of this algorithm is very similar to the compression ratio of JPEG-LS, and this algorithm loses a little image information but it has t
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Беляев, Н. Н., О. А. Бебенина, and В. Е. Бородкина. "DEVELOPEMENT AN ALGORITM FOR RECOGNIZING TEXT DATA IN DIGITAL GRAPHIC IMAGES." СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ, no. 2(84) (March 1, 2021): 75–78. http://dx.doi.org/10.36622/vstu.2021.84.2.016.

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Предложен алгоритм распознавания, реализующий процедуры: обучения выбранных классификаторов и распознавания текстовых данных, учитывающие статистические характеристики распределения коэффициентов частотной области цифровых графических изображениях формата JPEG. The article presents an approach to development an algorithm for recognizing text data within JPEG format digital graphic images. Considered a hypothesis about influence text data content in JPEG digital graphic images on the distribution of values of the discrete cosine transformation coefficients in the frequency domain JPEG images of
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Saptariani, Trini, Sarifudin Madenda, Ernastuti Ernastuti, and Widya Silfianti. "Accelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4343. http://dx.doi.org/10.11591/ijece.v8i6.pp4343-4351.

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In this paper, we propose a quantized YCbCr color space (QYCbCr) technique which is employed in standard JPEG. The objective of this work is to accelerate computational time of the standard JPEG image compression algorithm. This is a development of the standard JPEG which is named QYCBCr algorithm. It merges two processes i.e., YCbCr color space conversion and Q quantization in which in the standar JPEG they were performed separately. The merger forms a new single integrated process of color conversion which is employed prior to DCT process by subsequently eliminating the quantization process.
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Saptariani, Trini, Sarifudin Madenda, Ernastuti Ernastuti, and Widya Silfianti. "Accelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4343–51. https://doi.org/10.11591/ijece.v8i6.pp4343-4351.

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In this paper, we propose a quantized YCbCr color space (QYCbCr) technique which is employed in standard JPEG. The objective of this work is to accelerate computational time of the standard JPEG image compression algorithm. This is a development of the standard JPEG which is named QYCBCr algorithm. It merges two processes i.e., YCbCr color space conversion and Q quantization in which in the standar JPEG they were performed separately. The merger forms a new single integrated process of color conversion which is employed prior to DCT process by subsequently eliminating the quantization process.
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Dissertations / Theses on the topic "JPEG algorithm"

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Gondlyala, Siddharth Rao. "Enhancing the JPEG Ghost Algorithm using Machine Learning." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20692.

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Background: With the boom in the internet space and social media platforms, a large number of images are being shared. With this rise and advancements in technology, many image editing tools have made their way to giving rise to digital image manipulation. Being able to differentiate a forged image is vital to avoid misinformation or misrepresentation. This study focuses on the splicing image forgery to localizes the forged region in the tampered image. Objectives: The main purpose of the thesis is to extend the capability of the JPEG Ghost model by localizing the tampering in the image. This
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Chennupati, Om sai teja. "A structured approach to JPEG tampering detection using enhanced fusion algorithm." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21195.

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Akdag, Sadik Bahaettin. "An Image Encryption Algorithm Robust To Post-encryption Bitrate Conversion." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607710/index.pdf.

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In this study, a new method is proposed to protect JPEG still images through encryption by employing integer-to-integer transforms and frequency domain scrambling in DCT channels. Different from existing methods in the literature, the encrypted image can be further compressed, i.e. transcoded, after the encryption. The method provides selective encryption/security level with the adjustment of its parameters. The encryption method is tested with various images and compared with the methods in the literature in terms of scrambling performance, bandwidth expansion, key size and security. Furtherm
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Kadri, Imen. "Controlled estimation algorithms of disparity map using a compensation compression scheme for stereoscopic image coding." Thesis, Paris 13, 2020. http://www.theses.fr/2020PA131002.

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Ces dernières années ont vu apparaître de nombreuses applications utilisant la technologie 3D tels que les écrans de télévisions 3D, les écrans auto-stéréoscopiques ou encore la visio-conférence stéréoscopique. Cependant ces applications nécessitent des techniques bien adaptées pour comprimer efficacement le volume important de données à transmettre ou à stocker. Les travaux développés dans cette thèse concernent le codage d’images stéréoscopiques et s’intéressent en particulier à l'amélioration de l'estimation de la carte de disparité dans un schéma de Compression avec Compensation de Dispari
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Fawcett, Roger James. "Efficient practical image compression." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365711.

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Thom, Gary A., and Alan R. Deutermann. "A COMPARISON OF VIDEO COMPRESSION ALGORITHMS." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608290.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>Compressed video is necessary for a variety of telemetry requirements. A large number of competing video compression algorithms exist. This paper compares the ability of these algorithms to meet criteria which are of interest for telemetry applications. Included are: quality, compression, noise susceptibility, motion performance and latency. The algorithms are divided into those which employ inter-frame compression and those which employ intra-frame com
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Grecos, Christos. "Low cost algorithms for image/video coding and rate control." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/low-cost-algorithms-for-imagevideo-coding-and-rate-control(40ae7449-3372-4f21-aaec-91ad339907e9).html.

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Samuel, Sindhu. "Digital rights management (DRM) : watermark encoding scheme for JPEG images." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-09122008-182920/.

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Brunet, Dominique. "Métriques perceptuelles pour la compression d'images. Étude et comparaison des algorithmes JPEG et JPEG2000." Thesis, Université Laval, 2007. http://www.theses.ulaval.ca/2007/25159/25159.pdf.

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Les algorithmes de compression d'images JPEG et JPEG2000 sont présentés, puis comparés grâce à  une métrique perceptuelle. L'algorithme JPEG décompose une image par la transformée en cosinus discrète, approxime les coefficients transformés par une quantisation uniforme et encode le résultat par l'algorithme de Huffman. Pour l'algorithme JPEG2000, on utilise une transformée en ondelettes décomposant une image en plusieurs résolutions. On décrit et justifie la construction d'ondelettes orthogonales ou biorthogonales ayant le maximum de propriétés parmi les suivantes: valeurs réelles, support com
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Brunet, Dominique. "Métriques perceptuelles pour la compression d'images : éude et comparaison des algorithmes JPEG et JPEG2000." Master's thesis, Université Laval, 2007. http://hdl.handle.net/20.500.11794/19752.

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Les algorithmes de compression d'images JPEG et JPEG2000 sont présentés, puis comparés grâce à une métrique perceptuelle. L'algorithme JPEG décompose une image par la transformée en cosinus discrète, approxime les coefficients transformés par une quantisation uniforme et encode le résultat par l'algorithme de Huffman. Pour l'algorithme JPEG2000, on utilise une transformée en ondelettes décomposant une image en plusieurs résolutions. On décrit et justifie la construction d'ondelettes orthogonales ou biorthogonales ayant le maximum de propriétés parmi les suivantes: valeurs réelles, support comp
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Books on the topic "JPEG algorithm"

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

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Acharya, Tinku. JPEG2000 standard for image compression: Concepts, algorithms and VLSI architectures. Wiley-Interscience, 2005.

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Acharya, Tinku, and Ping-Sing Tsai. JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. Wiley-Interscience, 2004.

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Acharya, Tinku, and Ping-Sing Tsai. JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. Wiley & Sons, Incorporated, John, 2008.

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Book chapters on the topic "JPEG algorithm"

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Liu, Hongmei, Huiying Fu, and Jiwu Huang. "A Watermarking Algorithm for JPEG File." In Advances in Multimedia Information Processing - PCM 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922162_38.

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Fridrich, Jessica, Miroslav Goljan, and Dorin Hogea. "Steganalysis of JPEG Images: Breaking the F5 Algorithm." In Information Hiding. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36415-3_20.

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Zhang, Bin, Yang Xin, Xinxin Niu, Kaiguo Yuan, and Zhang Bin. "An Anti-JPEG Compression Image Perceptual Hashing Algorithm." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23220-6_51.

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Furht, Borko, Stephen W. Smoliar, and HongJiang Zhang. "JPEG Algorithm for Full-Color Still Image Compression." In Video and Image Processing in Multimedia Systems. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2277-5_5.

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Li, Jian, Huanhuan Zhao, Bin Ma, et al. "High-Quality PRNU Anonymous Algorithm for JPEG Images." In Digital Forensics and Watermarking. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2585-4_2.

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Tuba, Eva, Milan Tuba, Dana Simian, and Raka Jovanovic. "JPEG Quantization Table Optimization by Guided Fireworks Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59108-7_23.

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Bevinakoppa, Savitri. "Implementation of the JPEG Algorithm on Three Parallel Computers." In Still Image Compression on Parallel Computer Architectures. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4967-3_4.

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Rong, Ma, Yao Gaohua, and Guo Hui. "Color Image Fast Encryption Algorithm Based on JPEG Encoding." In Machine Learning and Intelligent Communications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04409-0_28.

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Shang, Yuanyuan, Huizhuo Niu, Sen Ma, Xuefeng Hou, and Chuan Chen. "Design and Implementation for JPEG-LS Algorithm Based on FPGA." In Computing and Intelligent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24091-1_48.

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Kakollu, Vanitha, G. Narsimha, and P. Chandrasekhar Reddy. "Fuzzy C-Means-Based JPEG Algorithm for Still Image Compression." In Smart Intelligent Computing and Applications. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1921-1_44.

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Conference papers on the topic "JPEG algorithm"

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Siam, Abdullah Al, Md Maruf Hassan, and Touhid Bhuiyan. "Secure Medical Imaging: A DICOM to JPEG 2000 Conversion Algorithm with Integrated Encryption." In 2025 IEEE 4th International Conference on AI in Cybersecurity (ICAIC). IEEE, 2025. https://doi.org/10.1109/icaic63015.2025.10848861.

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Viraktamath, S. V., and G. V. Attimarad. "Performance analysis of JPEG algorithm." In 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN). IEEE, 2011. http://dx.doi.org/10.1109/icsccn.2011.6024627.

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Bagbaba, Ahmet Cagri, Berna Ors, Osman Semih Kayhan, and Ahmet Turan Erozan. "JPEG image Encryption via TEA algorithm." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130282.

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Amashi, Radhika, Vishwanath P. Baligar, and Priyadarshini Kalwad. "Experimental study on JPEG-LS algorithm." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8391965.

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Sun, Baosheng, Daofu Gong, and Fenlin Liu. "A Robust Watermarking Algorithm For JPEG Images." In 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/jimec-17.2017.11.

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Shi, Xiaowei, Fenlin Liu, Daofu Gong, and Jing Jing. "An Authentication Watermark Algorithm for JPEG images." In 2009 International Conference on Availability, Reliability and Security. IEEE, 2009. http://dx.doi.org/10.1109/ares.2009.8.

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Kim, Taekon, Hyun M. Kim, Ping-sing Tsai, and Tinku Acharya. "Rate-distortion optimization algorithm for JPEG 2000." In International Symposium on Optical Science and Technology, edited by Mark S. Schmalz. SPIE, 2003. http://dx.doi.org/10.1117/12.451258.

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Liu, Yan-Qing, and Gui-Lian Su. "A Steganalytic Algorithm Aiming at JPEG Image." In 2009 Second International Conference on Information and Computing Science. IEEE, 2009. http://dx.doi.org/10.1109/icic.2009.163.

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Aravind, R., G. L. Cash, and J. P. Worth. "On Implementing The Jpeg Still-Picture Compression Algorithm." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by William A. Pearlman. SPIE, 1989. http://dx.doi.org/10.1117/12.970090.

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Yunxiang, Long, Hao Huang, and Jian Zheng. "Research on a JPEG Digital Image Encryption Algorithm." In 2020 IEEE 6th International Conference on Computer and Communications (ICCC). IEEE, 2020. http://dx.doi.org/10.1109/iccc51575.2020.9345233.

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Reports on the topic "JPEG algorithm"

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Allen, Christopher I. Demonstration of Inexact Computing Implemented in the JPEG Compression Algorithm using Probabilistic Boolean Logic applied to CMOS Components. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ad1002538.

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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. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.ir.7781.

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