Relevant bibliographies by topics / JPEG2000 Compression standard

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

Academic literature on the topic 'JPEG2000 Compression standard'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "JPEG2000 Compression standard"

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BALSTER, ERIC J., BENJAMIN T. FORTENER, and WILLIAM F. TURRI. "POST-COMPRESSION RATE-DISTORTION DEVELOPMENT FOR EMBEDDED BLOCK CODING WITH OPTIMAL TRUNCATION IN JPEG2000 IMAGERY." International Journal of Image and Graphics 11, no. 04 (2011): 611–27. http://dx.doi.org/10.1142/s0219467811004238.

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This paper presents a development of the post-compression rate-distortion optimization (PCRD-opt) algorithm in JPEG2000 used for optimal truncation (OT) rate control. The proposed treatment of PCRD-opt differs from the treatment given in the JPEG2000 standard and what is given in a number of publications. The proposed algorithm is implemented in a complete JPEG2000 compression engine as well as the algorithm published in the JPEG2000 standard. The proposed algorithm gives a substantial performance gain, outperforming the implementation given in the standard by 0.25–1 dB in PSNR on average, dem
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Zhang, Lu. "The Design of Static Image Compression System." Advanced Materials Research 1042 (October 2014): 150–53. http://dx.doi.org/10.4028/www.scientific.net/amr.1042.150.

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In this paper, a static image compression system based on DSP is introduced. The compression standard of this system is JPEG2000 that is the new image compression standard by ISO. First, the basic algorithm and key technologic of JPEG2000 are explained. Then, the realization method of the static image compression system based on JPEG2000 image coding is analyzed. Finally, the hardware of this system which is based on DSP is described. And by the verification of the system, very good static image compression effect can be get from this system.
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Ren, Ke Qiang, and Hai Ying Jiang. "Application Research of Kakadu System Based on JPEG2000." Advanced Materials Research 403-408 (November 2011): 1933–36. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1933.

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JPEG2000 is a new compressed standard of static image, Kakadu is a open source system which can be higher efficiency to realize the algorithm of JPEG2000. This article introduces the codec construction and the compressed stream structure in JPEG2000, analyzes the construction of Kakadu and image compression class in Kakadu, and then carries on application experiments based on JPEG2000 in Kakadu 2.2 platform. Experiments show that the compression of interest image region has higher transfer rate and lower memory compared with the original image, and JPEG2000 has higher compression rate and bett
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Basit, M. A., and G. Raja. "PERFORMANCE EVALUATION OF EMERGING JPEGXR COMPRESSION STANDARD FOR MEDICAL IMAGES." Nucleus 49, no. 1 (2012): 11–19. https://doi.org/10.71330/thenucleus.2012.810.

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Medical images require lossless compression as a small error due to lossy compression may be considered as a diagnostic error. JPEG XR is the latest image compression standard designed for variety of applications and has a support for lossy and lossless modes. This paper provides in-depth performance evaluation of latest JPEGXR with existing image coding standards for medical images using lossless compression. Various medical images are used for evaluation and ten images of each organ are tested. Performance of JPEGXR is compared with JPEG2000 and JPEGLS using mean square error, peak signal to
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Skodras, A. N., C. A. Christopoulos, and T. Ebrahimi. "JPEG2000: The upcoming still image compression standard." Pattern Recognition Letters 22, no. 12 (2001): 1337–45. http://dx.doi.org/10.1016/s0167-8655(01)00079-4.

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Dinu, Dragan, and Dragan Ivetic. "Architectures of DICOM based PACS for JPEG2000 medical image streaming." Computer Science and Information Systems 6, no. 1 (2009): 185–203. http://dx.doi.org/10.2298/csis0901185d.

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Delivering of medical image content to mobile/embedded devices with low storage and processing capabilities and low resolution displays is a challenging, but important task for achieving ubiquitous computing in modern hospital environments. The common approaches in industry and technical literature employ JPEG2000 compression and image streaming. Beside image compression, JPEG2000 facilitates image streaming. Different sized images are extracted from one codestream with minimal spatial distortion within decompressed image. We developed DICOM2000 syntax which enables JPEG2000 streaming over DIC
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Ghodhbani, Refka, Taoufik Saidani, Layla Horrigue, Asaad M. Algarni, and Muteb Alshammari. "An FPGA Accelerator for Real Time Hyperspectral Images Compression based on JPEG2000 Standard." Engineering, Technology & Applied Science Research 14, no. 2 (2024): 13118–23. http://dx.doi.org/10.48084/etasr.6853.

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Lossless hyperspectral images have the advantage of reducing the data size, hence saving on storage and transmission costs. This study presents a dynamic pipeline hardware design for compressing and decompressing images using the Joint Photographic Experts Group-Lossless (JPEG2000) algorithm. The proposed architecture was specifically tailored for implementation on a Field Programmable Gate Array (FPGA) to accomplish efficient image processing. The introduction of a pipeline pause mechanism effectively resolves the issue of coding errors deriving from parameter modifications. Bit-plane coding
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Wang, Wei Ling. "JPEG2000 Image Compression Method Based on GPGPU." Advanced Materials Research 756-759 (September 2013): 1314–19. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1314.

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In order to improve the compression speed of JPEG2000, the JPEG2000 compression standard is analysised and it concluded that the part data of the core algorithm that is DWT in JPEG2000 are independent from each other, so it is very suitable for parallel processing. CUDA (Compute Unified Device Architecture) is a latest software and hardware exploitation platform released by NVIDIA which is very suitable for large-scale data parallel computing.Using CUDA technology on general purpose graphic process unit (GPGPU) could speed up DWT algorithm parallelly and the program is optimized based on the c
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Al-Fayadh, Ali Hassan, Hind Rostom Mohammed, and Raghad Sahib Al-shimsah. "Gabor Wavelet Transform in Image Compression." Journal of Kufa for Mathematics and Computer 1, no. 6 (2012): 107–13. https://doi.org/10.31642/jokmc/2018/010613.

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In the present paper, an important mathematical transform which is called Gabor transform be used to develop a method for image compression. Gabor transform is a type of wavelet-based transform. It is embedded in the standard compression algorithm (JPEG2000) as a mother wavelet. Based on the obtained results we believe that Gabor wavelet transform can provide the optimal resolution in both the time and frequency domains, as well as it seems to be the optimal basis to extract local features such as discontinuities. These advantages of Gabor wavelet transform make it an efficient transform for c
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Medouakh, S., and Z. E. Baarir. "Study of the Standard JPEG2000 in Image Compression." International Journal of Computer Applications 18, no. 1 (2011): 27–33. http://dx.doi.org/10.5120/2247-2877.

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Dissertations / Theses on the topic "JPEG2000 Compression standard"

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Yeung, Yick Ming. "Fast rate control for JPEG2000 image coding /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20YEUNG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 63-65). Also available in electronic version. Access restricted to campus users.
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Natu, Ambarish Shrikrishna Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Error resilience in JPEG2000." Awarded by:University of New South Wales. Electrical Engineering and Telecommunications, 2003. http://handle.unsw.edu.au/1959.4/18835.

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The rapid growth of wireless communication and widespread access to information has resulted in a strong demand for robust transmission of compressed images over wireless channels. The challenge of robust transmission is to protect the compressed image data against loss, in such a way as to maximize the received image quality. This thesis addresses this problem and provides an investigation of a forward error correction (FEC) technique that has been evaluated in the context of the emerging JPEG2000 standard. Not much effort has been made in the JPEG2000 project regarding error resilience. Th
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Aulí, Llinàs Francesc. "Model-Based JPEG2000 rate control methods." Doctoral thesis, Universitat Autònoma de Barcelona, 2006. http://hdl.handle.net/10803/5806.

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Aquesta recerca està centrada en l'escalabilitat qualitativa de l'estàndard de compressió d'imatges JPEG2000. L'escalabilitat qualitativa és una característica fonamental que permet el truncament de la tira de bits a diferents punts sense penalitzar la qualitat de la imatge recuperada. L'escalabilitat qualitativa és també fonamental en transmissions d'imatges interactives, ja que permet la transmissió de finestres d'interès a diferents qualitats. <br/>El JPEG2000 aconsegueix escalabilitat qualitativa a partir del mètode de control de factor de compressió utilitzat en el procés de compressió, q
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Kamaras, Konstantinos. "JPEG2000 image compression and error resilience for transmission over wireless channels." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://sirsi.nps.navy.mil/uhtbin/hyperion-image/02Mar%5FKamaras.pdf.

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Xie, Xinwen. "Quality strategy and method for transmission : application to image." Thesis, Poitiers, 2019. http://www.theses.fr/2019POIT2251/document.

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Cette thèse porte sur l’étude des stratégies d’amélioration de la qualité d’image dans les systèmes de communication sans fil et sur la conception de nouvelles métriques d’évaluation de la qualité. Tout d'abord, une nouvelle métrique de qualité d'image à référence réduite, basée sur un modèle statistique dans le domaine des ondelettes complexes, a été proposée. Les informations d’amplitude et de phase relatives des coefficients issues de la transformée en ondelettes complexes sont modélisées à l'aide de fonctions de densité de probabilité. Les paramètres associés à ces fonctions constituent la
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Natu, Ambarish Shrikrishna. "Error resilience in JPEG2000 /." 2003. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20030519.163058/index.html.

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Books on the topic "JPEG2000 Compression standard"

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Acharya, Tinku, and Ping-Sing Tsai. JPEG2000 Standard for Image Compression. John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471653748.

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Acharya, Tinku. JPEG2000 Standard for Image Compression. John Wiley & Sons, Ltd., 2005.

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W, Marcellin Michael, ed. JPEG2000: Image compression fundamentals, standards, and practice. Kluwer Academic Publishers, 2002.

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

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Taubman, David S., and Michael W. Marcellin. JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4.

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Jpeg2000 Standard for Image Compression. Wiley & Sons Canada, Limited, John, 2005.

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JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. The Scottish Bible Society, 2004.

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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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JPEG2000 Standard for Image Compression: Concepts, Algorithms and VLSI Architectures. J Salmon, 2005.

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Book chapters on the topic "JPEG2000 Compression standard"

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Taubman, David S., and Michael W. Marcellin. "Introduction to JPEG2000." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_9.

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Taubman, David S., and Michael W. Marcellin. "Image Compression Overview." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_1.

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Bangun, P. R., N. Surbakti, A. B. Suksmono, and T. L. R. Mengko. "The Implementation of Wavelet-based Medical Image Compression Using JPEG2000 Image Coding Standard on a Grid Computing Scheme Utilizing Condor Distributed Batch System." In IFMBE Proceedings. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69139-6_143.

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Taubman, David S., and Michael W. Marcellin. "Sample Data Transformations." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_10.

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Taubman, David S., and Michael W. Marcellin. "Sample Data Partitions." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_11.

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Taubman, David S., and Michael W. Marcellin. "Sample Data Coding." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_12.

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Taubman, David S., and Michael W. Marcellin. "Code-Stream Syntax." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_13.

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Taubman, David S., and Michael W. Marcellin. "File Format." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_14.

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Taubman, David S., and Michael W. Marcellin. "Part 2 Extensions." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_15.

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Taubman, David S., and Michael W. Marcellin. "Performance Guidelines." In JPEG2000 Image Compression Fundamentals, Standards and Practice. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0799-4_16.

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Conference papers on the topic "JPEG2000 Compression standard"

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Venkateswarlu, S. C., P. B. Reddy, and Y. D. Solomon Raju. "Watermarking for JPEG2000 compression standard on FPGA." In ICWET '10: International Conference and Workshop on Emerging Trends in Technology. ACM, 2010. http://dx.doi.org/10.1145/1741906.1741975.

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Khanfir, Sami, and Mohamed Jemni. "Use of Grid Computing Technology and JPEG2000 Standard for Lossless Gigabyte Image Compression." In 2008 3rd International Conference on Grid and Pervasive Computing Workshops (GPC Workshops). IEEE, 2008. http://dx.doi.org/10.1109/gpc.workshops.2008.50.

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Kimpe, T., T. Bruylants, Y. Sneyders, R. Deklerck, and P. Schelkens. "Compression of medical volumetric datasets: physical and psychovisual performance comparison of the emerging JP3D standard and JPEG2000." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.707629.

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Ozturk, Emir, Altan Mesut, and Aydin Carus. "Performance comparison of JPEG, JPEG2000 & JPEG XR image compression standards." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7495712.

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"A HARDWARE-ORIENTED ANALYSIS OF ARITHMETIC CODING – COMPARATIVE STUDY OF JPEG2000 AND H.264/AVC COMPRESSION STANDARDS." In 1st International Conference on E-business and Telecommunication Networks. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001386603090316.

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