Data Hiding under Fractal Image Generation via Fourier Filtering Method
Summary :
This paper presents a new data hiding scheme under fractal image generation via Fourier filtering method for Computer Graphics (CG) applications. The data hiding operations are achieved in the frequency domain and a method similar to QAM used in digital communication is introduced for efficient embedding in order to explore both phase and amplitude components simultaneously. Consequently, this scheme enables us not only to generate a natural terrain surface without loss of fractalness analogous to the conventional scheme, but also to embed larger amounts of data into an image depending on the fractal dimension. This scheme ensures the correct decoding of the embedded data under lossy data compression such as JPEG by controlling the quantization exponent used in the embedding process.
- Publication
- IEICE TRANSACTIONS on Information Vol.E84-D No.1 pp.171-178
- Publication Date
- 2001/01/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Image Processing, Image Pattern Recognition
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Shuichi TAKANO, Kiyoshi TANAKA, Tatsuo SUGIMURA, "Data Hiding under Fractal Image Generation via Fourier Filtering Method" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 1, pp. 171-178, January 2001, doi: .
Abstract: This paper presents a new data hiding scheme under fractal image generation via Fourier filtering method for Computer Graphics (CG) applications. The data hiding operations are achieved in the frequency domain and a method similar to QAM used in digital communication is introduced for efficient embedding in order to explore both phase and amplitude components simultaneously. Consequently, this scheme enables us not only to generate a natural terrain surface without loss of fractalness analogous to the conventional scheme, but also to embed larger amounts of data into an image depending on the fractal dimension. This scheme ensures the correct decoding of the embedded data under lossy data compression such as JPEG by controlling the quantization exponent used in the embedding process.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_1_171/_p
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@ARTICLE{e84-d_1_171,
author={Shuichi TAKANO, Kiyoshi TANAKA, Tatsuo SUGIMURA, },
journal={IEICE TRANSACTIONS on Information},
title={Data Hiding under Fractal Image Generation via Fourier Filtering Method},
year={2001},
volume={E84-D},
number={1},
pages={171-178},
abstract={This paper presents a new data hiding scheme under fractal image generation via Fourier filtering method for Computer Graphics (CG) applications. The data hiding operations are achieved in the frequency domain and a method similar to QAM used in digital communication is introduced for efficient embedding in order to explore both phase and amplitude components simultaneously. Consequently, this scheme enables us not only to generate a natural terrain surface without loss of fractalness analogous to the conventional scheme, but also to embed larger amounts of data into an image depending on the fractal dimension. This scheme ensures the correct decoding of the embedded data under lossy data compression such as JPEG by controlling the quantization exponent used in the embedding process.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Data Hiding under Fractal Image Generation via Fourier Filtering Method
T2 - IEICE TRANSACTIONS on Information
SP - 171
EP - 178
AU - Shuichi TAKANO
AU - Kiyoshi TANAKA
AU - Tatsuo SUGIMURA
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2001
AB - This paper presents a new data hiding scheme under fractal image generation via Fourier filtering method for Computer Graphics (CG) applications. The data hiding operations are achieved in the frequency domain and a method similar to QAM used in digital communication is introduced for efficient embedding in order to explore both phase and amplitude components simultaneously. Consequently, this scheme enables us not only to generate a natural terrain surface without loss of fractalness analogous to the conventional scheme, but also to embed larger amounts of data into an image depending on the fractal dimension. This scheme ensures the correct decoding of the embedded data under lossy data compression such as JPEG by controlling the quantization exponent used in the embedding process.
ER -
English
