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Artykuły w czasopismach na temat "JPEG (Image coding standard); image processing"
Zhang, Xi, i Noriaki Fukuda. "Lossy to lossless image coding based on wavelets using a complex allpass filter". International Journal of Wavelets, Multiresolution and Information Processing 12, nr 04 (lipiec 2014): 1460002. http://dx.doi.org/10.1142/s0219691314600029.
Pełny tekst źródłaKliuchenia, V. V. "Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit". Doklady BGUIR 19, nr 3 (2.06.2021): 5–13. http://dx.doi.org/10.35596/1729-7648-2021-19-3-5-13.
Pełny tekst źródłaSaudagar, Abdul Khader Jilani. "Biomedical Image Compression Techniques for Clinical Image Processing". International Journal of Online and Biomedical Engineering (iJOE) 16, nr 12 (19.10.2020): 133. http://dx.doi.org/10.3991/ijoe.v16i12.17019.
Pełny tekst źródłaMan, Hong, Alen Docef i Faouzi Kossentini. "Performance Analysis of the JPEG 2000 Image Coding Standard". Multimedia Tools and Applications 26, nr 1 (maj 2005): 27–57. http://dx.doi.org/10.1007/s11042-005-6848-5.
Pełny tekst źródłaTanaka, Midori, Tomoyuki Takanashi i Takahiko Horiuchi. "Glossiness-aware Image Coding in JPEG Framework". Journal of Imaging Science and Technology 64, nr 5 (1.09.2020): 50409–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.5.050409.
Pełny tekst źródłaPinheiro, Antonio. "JPEG column: 82nd JPEG meeting in Lisbon, Portugal". ACM SIGMultimedia Records 11, nr 1 (marzec 2019): 1. http://dx.doi.org/10.1145/3458462.3458468.
Pełny tekst źródłaDufaux, Frederic, Gary J. Sullivan i Touradj Ebrahimi. "The JPEG XR image coding standard [Standards in a Nutshell]". IEEE Signal Processing Magazine 26, nr 6 (listopad 2009): 195–204. http://dx.doi.org/10.1109/msp.2009.934187.
Pełny tekst źródłaSkodras, A., C. Christopoulos i T. Ebrahimi. "The JPEG 2000 still image compression standard". IEEE Signal Processing Magazine 18, nr 5 (2001): 36–58. http://dx.doi.org/10.1109/79.952804.
Pełny tekst źródłaSowmithri, K. "An Iterative Lifting Scheme on DCT Coefficients for Image Coding". International Journal of Students' Research in Technology & Management 3, nr 4 (27.09.2015): 317–19. http://dx.doi.org/10.18510/ijsrtm.2015.341.
Pełny tekst źródłaMechouek, Khaoula, Nasreddine Kouadria, Noureddine Doghmane i Nadia Kaddeche. "Low Complexity DCT Approximation for Image Compression in Wireless Image Sensor Networks". Journal of Circuits, Systems and Computers 25, nr 08 (17.05.2016): 1650088. http://dx.doi.org/10.1142/s0218126616500882.
Pełny tekst źródłaRozprawy doktorskie na temat "JPEG (Image coding standard); image processing"
Gupta, Amit Kumar Electrical Engineering & Telecommunications Faculty of Engineering UNSW. "Hardware optimization of JPEG2000". Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/30581.
Pełny tekst źródłaNolte, Ernst Hendrik. "Image compression quality measurement : a comparison of the performance of JPEG and fractal compression on satellite images". Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51796.
Pełny tekst źródłaENGLISH ABSTRACT: The purpose of this thesis is to investigate the nature of digital image compression and the calculation of the quality of the compressed images. The work is focused on greyscale images in the domain of satellite images and aerial photographs. Two compression techniques are studied in detail namely the JPEG and fractal compression methods. Implementations of both these techniques are then applied to a set of test images. The rest of this thesis is dedicated to investigating the measurement of the loss of quality that was introduced by the compression. A general method for quality measurement (signal To Noise Ratio) is discussed as well as a technique that was presented in literature quite recently (Grey Block Distance). Hereafter, a new measure is presented. After this, a means of comparing the performance of these measures is presented. It was found that the new measure for image quality estimation performed marginally better than the SNR algorithm. Lastly, some possible improvements on this technique are mentioned and the validity of the method used for comparing the quality measures is discussed.
AFRIKAANSE OPSOMMING: Die doel van hierdie tesis is om ondersoek in te stel na die aard van digitale beeldsamepersing en die berekening van beeldkwaliteit na samepersing. Daar word gekonsentreer op grysvlak beelde in die spesifieke domein van satellietbeelde en lugfotos. Twee spesifieke samepersingstegnieke word in diepte ondersoek naamlik die JPEG en fraktale samepersingsmetodes. Implementasies van beide hierdie tegnieke word op 'n stel toetsbeelde aangewend. Die res van hierdie tesis word dan gewy aan die ondersoek van die meting van die kwaliteitsverlies van hierdie saamgeperste beelde. Daar word gekyk na 'n metode wat in algemene gebruik in die praktyk is asook na 'n nuwer metode wat onlangs in die literatuur veskyn het. Hierna word 'n nuwe tegniek bekendgestel. Verder word daar 'n vergelyking van hierdie mates en 'n ondersoek na die interpretasie van die 'kwaliteit' van hierdie kwaliteitsmate gedoen. Daar is gevind dat die nuwe maatstaf vir kwaliteit net so goed en selfs beter werk as die algemene maat vir beeldkwaliteit naamlik die Sein tot Ruis Verhouding. Laastens word daar moontlike verbeterings op die maatstaf genoem en daar volg 'n bespreking oor die geldigheid van die metode wat gevolg is om die kwaliteit van die kwaliteitsmate te bepaal
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/.
Pełny tekst źródłaNatu, Ambarish Shrikrishna Electrical Engineering & 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.
Pełny tekst źródłaMuller, Rikus. "A study of image compression techniques, with specific focus on weighted finite automata". Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/1128.
Pełny tekst źródłaChien, Chi-Hao. "A comparison study of the implementation of digital camera's RAW and JPEG and scanner's TIFF file formats, and color management procedures for inkjet textile printing applications /". Online version of thesis, 2009. http://hdl.handle.net/1850/10886.
Pełny tekst źródłaKailasanathan, Chandrapal. "Securing digital images". Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20041026.150935/index.html.
Pełny tekst źródłaYeung, 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.
Pełny tekst źródłaIncludes bibliographical references (leaves 63-65). Also available in electronic version. Access restricted to campus users.
Giakoumakis, Michail D. "Refinements in a DCT based non-uniform embedding watermarking scheme". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FGiakoumakis.pdf.
Pełny tekst źródłaThesis advisor(s): Roberto Cristi, Ron Pieper, Craig Rasmussen. Includes bibliographical references (p. 119-121). Also available online.
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.
Pełny tekst źródłaKsiążki na temat "JPEG (Image coding standard); image processing"
L, Mitchell Joan, red. JPEG still image data compression standard. New York: Van Nostrand Reinhold, 1992.
Znajdź pełny tekst źródłaAcharya, Tinku. JPEG2000 Standard for Image Compression. New York: John Wiley & Sons, Ltd., 2005.
Znajdź pełny tekst źródłaAcharya, Tinku. JPEG2000 standard for image compression: Concepts, algorithms and VLSI architectures. Hoboken, N.J: Wiley-Interscience, 2005.
Znajdź pełny tekst źródłaW, Marcellin Michael, red. JPEG2000: Image compression fundamentals, standards, and practice. Boston: Kluwer Academic Publishers, 2002.
Znajdź pełny tekst źródłaVideo compression: Fundamental compression techniques and an overview of the JPEG and MPEG compression systems. New York: McGraw-Hill, 1998.
Znajdź pełny tekst źródłaVideo compression demystified. New York: McGraw-Hill, 2001.
Znajdź pełny tekst źródłaBennett, Simpson, red. Jpegs. New York: Aperture, 2009.
Znajdź pełny tekst źródłaPeter, Symes, red. Digital video compression. New York: McGraw-Hill, 2004.
Znajdź pełny tekst źródłaLin, I.-Jong. Video object extraction and representation: Theory and applications. Boston, Mass: Kluwer Academic Publisher, 2000.
Znajdź pełny tekst źródłaG, Richardson Iain E., red. The H.264 advanced video compression standard. Wyd. 2. Hoboken, N.J: Wiley, 2010.
Znajdź pełny tekst źródłaCzęści książek na temat "JPEG (Image coding standard); image processing"
Man, Hong, Alen Docef i Faouzi Kossentini. "JPEG 2000 Image Coding Standard". W Encyclopedia of Multimedia, 379–86. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_99.
Pełny tekst źródłaHuang, Xinpeng, Ping An, Liquan Shen i Kai Li. "Light Field Image Compression Scheme Based on MVD Coding Standard". W Advances in Multimedia Information Processing – PCM 2017, 79–88. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77380-3_8.
Pełny tekst źródłaShan, Ying-ying, i Xuan Wang. "A Low Computational Complexity Multiple Description Image Coding Algorithm Based on JPEG Standard". W Novel Algorithms and Techniques in Telecommunications and Networking, 173–76. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3662-9_29.
Pełny tekst źródłaSimpson, Albert, Jill Hunter, Moira Wylie, Yi Hu i David Mann. "Demonstrating Real-time JPEG Image Compression-Decompression using Standard Component IP Cores on a Programmable Logic based Platform for DSP and Image Processing". W Field-Programmable Logic and Applications, 441–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44687-7_45.
Pełny tekst źródła"JPEG: Still Image Compression Standard". W Image Processing, 351–68. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471745790.ch16.
Pełny tekst źródłaShi, Yun Q., i Huifang Sun. "Still Image Coding: Standard JPEG". W Image and Video Compression for Multimedia Engineering, 167–78. CRC Press, 2017. http://dx.doi.org/10.1201/9781420007268-7.
Pełny tekst źródłaShi, Yun-Qing, i Huifang Sun. "Still Image Coding Standard—JPEG". W Image and Video Compression for Multimedia Engineering, 183–95. CRC Press, 2019. http://dx.doi.org/10.1201/9781315097954-8.
Pełny tekst źródła"Coding Algorithms in JPEG2000 Standard". W Image Processing, 391–420. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471745790.ch18.
Pełny tekst źródła"Coding of still pictures (JPEG and JPEG2000)". W Standard Codecs: Image compression to advanced video coding, 103–30. Institution of Engineering and Technology, 2003. http://dx.doi.org/10.1049/pbte049e_ch5.
Pełny tekst źródła"Coding of still pictures (JPEG and JPEG2000)". W Standard Codecs: Image compression to advanced video coding, 101–28. Institution of Engineering and Technology, 2011. http://dx.doi.org/10.1049/pbte054e_ch5.
Pełny tekst źródłaStreszczenia konferencji na temat "JPEG (Image coding standard); image processing"
Suzuki, Taizo, i Masaaki Ikehara. "Realization of lossless-to-lossy image coding compatible with JPEG standard by direct-lifting of DCT-IDCT". W 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5654181.
Pełny tekst źródłaRichter, Thomas, i Richard Clark. "Why JPEG is not JPEG: testing a 25 years old standard". W Applications of Digital Image Processing XLI, redaktor Andrew G. Tescher. SPIE, 2018. http://dx.doi.org/10.1117/12.2320913.
Pełny tekst źródłaSchelkens, Peter, Pekka Astola, Eduardo A. B. Da Silva, Carla Pagliari, Cristian Perra, Ioan Tabus i Osamu Watanabe. "JPEG Pleno light field coding technologies". W Applications of Digital Image Processing XLII, redaktorzy Andrew G. Tescher i Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2532049.
Pełny tekst źródłaLakhani, Gopal. "DCT Coefficient Prediction for JPEG Image Coding". W 2007 IEEE International Conference on Image Processing. IEEE, 2007. http://dx.doi.org/10.1109/icip.2007.4379986.
Pełny tekst źródłaZaid, Azza Ouled, i Amira Houimli. "HDR image compression with optimized JPEG coding". W 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081467.
Pełny tekst źródłaPuchala, Dariusz, Kamil Stokfiszewski i Mykhaylo Yatsymirskyy. "Encryption Before Compression Coding Scheme for JPEG Image Compression Standard". W 2020 Data Compression Conference (DCC). IEEE, 2020. http://dx.doi.org/10.1109/dcc47342.2020.00039.
Pełny tekst źródłaPerra, Cristian, Pekka Astola, Eduardo A. B. da Silva, Hesam Khanmohammad, Carla Pagliari, Peter Schelkens i Ioan Tabus. "Performance analysis of JPEG Pleno light field coding". W Applications of Digital Image Processing XLII, redaktorzy Andrew G. Tescher i Touradj Ebrahimi. SPIE, 2019. http://dx.doi.org/10.1117/12.2528391.
Pełny tekst źródłaRichter, Thomas, Antonin Descampe, Joachim Keinert i Gael Rouvroy. "Entropy coding, profiles, and levels of JPEG XS". W Applications of Digital Image Processing XLI, redaktor Andrew G. Tescher. SPIE, 2018. http://dx.doi.org/10.1117/12.2322525.
Pełny tekst źródłaJin, Lina, Karen Egiazarian i C. C. Jay Kuo. "JPEG-based perceptual image coding with block-based image quality metric". W 2012 19th IEEE International Conference on Image Processing (ICIP 2012). IEEE, 2012. http://dx.doi.org/10.1109/icip.2012.6467044.
Pełny tekst źródłaBelyaev, Evgeny. "Compressive Sensed Video Coding Having Jpeg Compatibility". W 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9190857.
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