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    Title: 應用於高動態範圍影像與多邊形模型之資訊隱藏技術
    Authors: 張嘉君
    Contributors: 行動商務與多媒體應用學系
    Keywords: 高動態範圍影像、多邊形模型、篡改偵測、可適應性資訊隱藏、認證、影像內插、 High Dynamic Range Images、polygonal models、tamper detection、adaptive information hiding、authentication、image interpolation
    Date: 2018
    Issue Date: 2018-07-30 13:39:24 (UTC+8)
    Publisher: 亞洲大學
    Abstract: 本文將資訊隱藏技術分別應用至高動態範圍影像與多邊形模型上,提出可適應性高動態範圍影像資訊隱藏演算法與區域式三維模型竄改偵測技術。
    This thesis proposes two information hiding algorithms for high dynamic range images and polygon models separately. High capacity with imperceptible distortion is the basic goal for both algorithms.
    We first propose an adaptive information-hiding algorithm for high-dynamic-range images based on image interpolation and pixel-value differencing. The algorithm obtains the reference pixels from the input image and then embed the secret message into them based on LSB substitution method. Thereafter, a threshold is used to determine the block complexity and different embedding strategies are adopted for data embedding, either LSB substitution or pixel-value differencing. The embedding capacity for each pixel in complex block is obtained adaptively based on the difference between original and interpolated pixel value. Experimental results show that the proposed algorithm can have more embedding capacity accompanying with satisfactory image quality than previous algorithm.
    In our improved region-based tamper detection algorithm, three strategies are introduced to enhance the embedding capacity and the detection accuracy of our previous algorithm. First, the modified message-digit substitution table can increase the embedding capacity by 11%. Second, the modified embedding ratio generation method can be integrated to raise the embedding capacity by about 50%. Finally, the strategy adopting reduced number of reference vertices for authentication code generation accompanying with above two ones improves the embedding capacity up to 150%. Extensive experiments show that the proposed algorithm can achieve superior performance in terms of embedding capacity and tamper localization accuracy. Further, the model distortion between the original and the marked ones is small.
    Appears in Collections:[Department of Applied Informatics and Multimedia] Theses & dissertations

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