Cellular automata based encoding technique for wavelet transformed data targeting still image compression. (English) Zbl 1155.68556
El Yacoubi, Samira (ed.) et al., Cellular automata. 7th international conference on cellular automata, for research and industry, ACRI 2006, Perpignan, France, September 20–23, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-40929-8/pbk). Lecture Notes in Computer Science 4173, 141-146 (2006).
Summary: This paper reports on cellular automata (CA) based efficient encoding technique for wavelet transformed data of still image. The encoding technique handles wavelet coefficients, in transformed domain, and then simulates different classes of transforms with the introduction of CA framework. It ideally suits for low cost implementation of the compression technology for still images. Reported experimental results establish the effectiveness of the proposed scheme.
For the entire collection see [Zbl 1147.68005].
For the entire collection see [Zbl 1147.68005].
MSC:
| 68U10 | Computing methodologies for image processing |
| 68P30 | Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) |
| 68Q80 | Cellular automata (computational aspects) |
