Lossy image compression based on prediction error and vector quantisation-Reference-Cited by-同舟云学术

Lossy image compression based on prediction error and vector quantisation

Published:2017-05-18 Issue:1 Volume:2017 Page:
ISSN:1687-5281
Container-title:EURASIP Journal on Image and Video Processing
language:en
Short-container-title:J Image Video Proc.

Author:

Ayoobkhan Mohamed Uvaze Ahamed^ORCID,Chikkannan Eswaran,Ramakrishnan Kannan

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13640-017-0184-3.pdf

Reference34 articles.

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2. G Vijayvargiya, S Silakari, R Pandey, “A survey: various techniques of image compression,” arXiv preprint arXiv:1311.687, 2013

3. D Taubman, High performance scalable image compression with EBCOT. IEEE Trans. Image Process. 9(7), 1158–1170 (2000)

4. S Masood, M Sharif, M Yasmin, M Raza, S Mohsin, Brain image compression: a brief survey. Res. J. Appl. Sci. 5, 49–59 (2013)

5. Blelloch GE, "Introduction to data compression," Computer Science Department, Carnegie Mellon University, 2001. https://karczmarczuk.users.greyc.fr/matrs/Dess/RADI/Refs/compression.pdf .

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