Share Email Print

Proceedings Paper

Truncated Baker transformation and its extension to image encryption
Author(s): Masaki Miyamoto; Kiyoshi Tanaka; Tatsuo Sugimura
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper presents a new truncated Baker transformation with a finite precision and extends it to an efficient image encryption scheme. The truncated Baker transformation uses the quantization error as a secret key, which is always produced by contraction mechanism in the mapping process. The original dynamics by Baker transformation is globally preserved but a random level rotation operator is incorporated between two neighbor elements in the mapping domain in order to keep the same precision. Such perturbations are local and small in each mapping, however, as the mapping process goes on they will gradually accumulate and affect the whole dynamics. Consequently, generated binary sequences (the dynamics of elements) have statistically good features on ergodicity, mixing and chaotic properties. The extended image encryption scheme efficiently shuffle the input gray level image making difficult for a third party to decode the ciphered data to the original image without knowing the proper secret key.

Paper Details

Date Published: 16 December 1999
PDF: 13 pages
Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); doi: 10.1117/12.372751
Show Author Affiliations
Masaki Miyamoto, Shinshu Univ. (Japan)
Kiyoshi Tanaka, Shinshu Univ. (Japan)
Tatsuo Sugimura, Shinshu Univ. (Japan)

Published in SPIE Proceedings Vol. 3814:
Mathematics of Data/Image Coding, Compression, and Encryption II
Mark S. Schmalz, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?