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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/9582

    Title: 具低計算量之資訊隱藏技術及應用
    Authors: 周永振
    Contributors: 資訊學院
    Keywords: 反叢聚
    indicator elimination
    information hiding
    reversible data embedding
    side-match vector quantization (SMVQ
    Date: 2009
    Issue Date: 2010-05-12 13:40:08 (UTC+8)
    Abstract: 向量量化編碼(Vector quantization, VQ)概念常被應用到各種不同的領域。邊緣吻合向量量化編碼
    (Side-match vector quantization, SMVQ)是一種植基於VQ概念的影像壓方法,它有效的改進了VQ的
    壓 效果並且維持其良好的影像視覺品質,在SMVQ的方法其為了要避免預測錯誤所造成的嚴重影像
    失真,因此用了標示碼做為辨別區塊是利用VQ 或SMVQ 壓縮的,並確保其能完整無誤的被復原,
    及可還原式資訊隱藏的概念設計新的無標示碼之SMVQ 方法。預期我們所設計出來的方法計算量並
    機密資訊可透過資訊隱藏技術有效地保護並傳送,本研究計畫,我們研究一個利用Sudoku 的新
    式可還原原始影像資訊隱藏技術,這個方法將機密資料以9 進制方式表示並將其藏入到負載影像裡,
    完整無誤地回復。再者,由於Sudoku 的解非常多,因此應用於本方法中將可提昇傳送機密資訊時的
    緣吻合向量量化編碼的壓縮效果。第二年,我們將利用Sudoku 的特性設計新式的可還原原始影像的
    The vector quantization (VQ) concept is widely used in many applications. Side-match vector
    quantization (SMVQ) is a VQ-based image compression method that offers significantly improved
    performance in compression rate while maintaining the image quality of compressed images. To eliminate
    distortion propagation, SMVQ requires one extra bit to serve as an indicator identifying which blocks are
    encoded by SMVQ or VQ, and to make sure all image blocks can be successfully reconstructed. To eliminate
    the indicators generated by SMVQ, we applied declustering and reversible data hiding concept to design our
    indicator elimination method. With the indicator elimination method, the computation cost of our method is
    not significantly higher than that of SMVQ.
    Secret information can be protected by using information hiding techniques. In this project, we
    investigate a novel reversible information hiding scheme by using Sudoku. The scheme embeds two secret
    digits in the base-9 numeral system into a cover pixel pair by distributing them into two stego pixel pairs at a
    time. The scheme achieves higher embedding capacity with acceptable lower visual quality of stego images.
    In addition, the scheme is a reversible information hiding scheme in which the original cover image can be
    completely recovered after secret data has been extracted. Furthermore, the scheme obtains the security
    purpose by sharing secret data into two stego images and using different Sudoku’s solutions for different
    secret data transmissions.
    Many data hiding techniques have been proposed in the past years. In our project, we will study the
    techniques proposed in the recent years and investigating some high performance data hiding schemes in
    terms of capacity and visual quality. In first year, we will apply data hiding technique to improve the
    performance of SMVQ compression in terms of compression rate. In second year, we will utilize Sudoku to
    be a reference table and use it to guild the secret data embedding. The scheme not only achieves secret data
    delivery but also can fully reconstruct the cover image after secret data have been extracted.
    Appears in Collections:[資訊工程學系] 科技部研究計畫

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