The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kertas kerja ini membentangkan skema penyembunyian data baharu di bawah penjanaan imej fraktal melalui kaedah penapisan Fourier untuk aplikasi Grafik Komputer (CG). Operasi penyembunyian data dicapai dalam domain frekuensi dan kaedah yang serupa dengan QAM yang digunakan dalam komunikasi digital diperkenalkan untuk pembenaman yang cekap untuk meneroka komponen fasa dan amplitud secara serentak. Akibatnya, skim ini membolehkan kami bukan sahaja menjana permukaan rupa bumi semula jadi tanpa kehilangan fraktal yang serupa dengan skema konvensional, tetapi juga untuk membenamkan jumlah data yang lebih besar ke dalam imej bergantung pada dimensi fraktal. Skim ini memastikan penyahkodan yang betul bagi data terbenam di bawah pemampatan data lossy seperti JPEG dengan mengawal eksponen pengkuantitian yang digunakan dalam proses pembenaman.
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Salinan
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
Salinan
@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},}
Salinan
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 -