Reconstruction of hidden images using wavelet transform and an entropy-maximization algorithm

Naoto Nakamura, Shigeru Takano, Yoshihiro Okada, Koichi Niijima

    研究成果: ジャーナルへの寄稿記事

    抄録

    This paper proposes a blind image separation method using wavelet transform and an entropy-maximization algorithm. Our blind separation algorithm is an improved version of the entropy-maximization algorithms presented by Bell- Sejnowsky and Amari. These algorithms work well for signals having a supergaussian distribution, such as speech and audio. The proposed method is to apply the improved algorithm to the wavelet coefficients of a natural image, whose distribution is close to supergaussian. Our method successfully reconstruct twelve images hidden in another twelve images which are similar each other.

    元の言語英語
    ジャーナルUnknown Journal
    出版物ステータス出版済み - 2006

    Fingerprint

    Wavelet transforms
    wavelet
    entropy
    Entropy
    transform
    method
    distribution

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Electrical and Electronic Engineering

    これを引用

    Reconstruction of hidden images using wavelet transform and an entropy-maximization algorithm. / Nakamura, Naoto; Takano, Shigeru; Okada, Yoshihiro; Niijima, Koichi.

    :: Unknown Journal, 2006.

    研究成果: ジャーナルへの寄稿記事

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