THE QUALITY COMPARSION OF SVD AND DCT BASED IMAGE COMPERSSION METHODS FOR EMBEDDED DEVICES
Keywords:
Lossy image compression, SVD, DCT, Image processing, Embedded devicesAbstract
This article presents results of the SVD based asymmetric image compression method for static image data in comparison to conventional compression methods based on DCT. The described method has been developed as an additional method for transferring static images transfer to personal video portable units from a central control system.
Downloads
Download data is not yet available.
References
(1) DOBROVOLNÝ M. ŠILAR Z., ČERNÝ M. Asymmetric Image Compression for
Embedded Devices based on Singular Value Decomposition, IEEE Applied Electronics
Pilsen, 2011.
(2) BHARDWAJ A., ALI R. Image Compression Using Modified Fast Haar Wavelet
Transform, World Applied Sciences Journal 7 (5): 647-653, 2009 , ISSN 1818-4952.
(3) MORTON P., GlLINDEN K. Image Compression Using the Haar wavelet transform,
Plenum Press 1996.
(4) VARMA, K., DAMECHARLA A., CARLETTA H. A Fast JPEG2000 EBCOT Tier-1
Architecture That Preserves Coding Efficiency, IEEE International Conference on Im.
Process. 2006, ISSN: 1522-4880.
(5) SARAWADEKAR, K. BANERJEE, S. Area efficient, high-speed VLSI design for
EBCOT block coder in JPEG 2000, Electronics and Information Engineering (ICEIE),
2010 International Conference, Kyoto 2010, ISBN: 978-1-4244-7679-4.
(6) SINGH, S.K., KUMAR, S. A Framework to Design Novel SVD Based Color Image
Compression, Computer Modeling and Simulation, 2009. EMS '09. Third UKSim
European Symposium, Athens 2010, ISBN: 978-1-4244-5345-0.
(7) CASTELMAN K. R. Digital Image Processing, Prentice-Hall, New Jersey, USA 1996.
(8) FORSYTH D., PONCE J. Computer Vision: A Modern Approach, ISBN: 0130851981.
(9) PETROU M, BOSDOGIANNI P Image Processing: The Fundamentals, Wiley; 1 edition
(October 5, 1999), ISBN: 0471998834.
Embedded Devices based on Singular Value Decomposition, IEEE Applied Electronics
Pilsen, 2011.
(2) BHARDWAJ A., ALI R. Image Compression Using Modified Fast Haar Wavelet
Transform, World Applied Sciences Journal 7 (5): 647-653, 2009 , ISSN 1818-4952.
(3) MORTON P., GlLINDEN K. Image Compression Using the Haar wavelet transform,
Plenum Press 1996.
(4) VARMA, K., DAMECHARLA A., CARLETTA H. A Fast JPEG2000 EBCOT Tier-1
Architecture That Preserves Coding Efficiency, IEEE International Conference on Im.
Process. 2006, ISSN: 1522-4880.
(5) SARAWADEKAR, K. BANERJEE, S. Area efficient, high-speed VLSI design for
EBCOT block coder in JPEG 2000, Electronics and Information Engineering (ICEIE),
2010 International Conference, Kyoto 2010, ISBN: 978-1-4244-7679-4.
(6) SINGH, S.K., KUMAR, S. A Framework to Design Novel SVD Based Color Image
Compression, Computer Modeling and Simulation, 2009. EMS '09. Third UKSim
European Symposium, Athens 2010, ISBN: 978-1-4244-5345-0.
(7) CASTELMAN K. R. Digital Image Processing, Prentice-Hall, New Jersey, USA 1996.
(8) FORSYTH D., PONCE J. Computer Vision: A Modern Approach, ISBN: 0130851981.
(9) PETROU M, BOSDOGIANNI P Image Processing: The Fundamentals, Wiley; 1 edition
(October 5, 1999), ISBN: 0471998834.
Downloads
Published
2011-12-30
How to Cite
Dobrovolný, M. (2011). THE QUALITY COMPARSION OF SVD AND DCT BASED IMAGE COMPERSSION METHODS FOR EMBEDDED DEVICES. Perner’s Contacts, 6(4), 51–57. Retrieved from https://pernerscontacts.upce.cz/index.php/perner/article/view/897
Issue
Section
Articles
License
Copyright (c) 2020 Martin Dobrovolný
This work is licensed under a Creative Commons Attribution 4.0 International License.
