DSP implementation of modified variable vector quantization based image compression using DCT and synthesis on FPGA-Reference-Cited by-同舟云学术

DSP implementation of modified variable vector quantization based image compression using DCT and synthesis on FPGA

Published:2018-07-02 Issue:2 Volume:11 Page:203-212
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Dixit Mahendra M.^ORCID,Vijaya C.

Funder

All India Council for Technical Education

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/article/10.1007/s41870-018-0162-8/fulltext.html

Reference21 articles.

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2. Skodras A, Christopoulos C, Ebrahimi T (2001) The JPEG 2000 still image compression standard. IEEE Signal Process Mag 18(5):36–58. https://doi.org/10.1109/79.952804

3. Martínez JM (2002) The MPEG standard, ISO/MPEG N4674, overview of the MPEG-7, Standard, Version 6.0. MPEG Requirements Group, IEEE Multimedia, Spain

4. Kornblum JD (2008) Using JPEG quantization tables to identify imagery processed by software. Digit Investig S21–S25. https://doi.org/10.1016/j.diin.2008.05.004 . 2008 Digital Forensic Research Workshop, Published by Elsevier Ltd.

5. Dixit MM, Vijaya C (2017) Q-factor based modified adaptable vector quantization techniques for DCT based image compression and DSP implementation. In: 6th international conference on innovations in electronics and communication engineering ICIECE-2017, Hyderabad, Published in Springer Book Series Title Lecture Notes in Networks and Systems, July 2017

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