Fast Trellis-Based Informed Embedding for Digital Watermarking Systems

碩士 === 國立中興大學 === 通訊工程研究所 === 98 === This paper proposes a informed watermarking based on trellis structure, and divided into informed coding and informed embedding . We present two fast informed embedding algorithms for watermarking system. These algorithms are capable of embedding 1585 bits of mes...

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Main Authors: Yu-Qiao Hong, 洪鈺喬
Other Authors: Hou-Shou Chen
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/32574958140021746537
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spelling ndltd-TW-098NCHU56500362016-07-16T04:11:09Z http://ndltd.ncl.edu.tw/handle/32574958140021746537 Fast Trellis-Based Informed Embedding for Digital Watermarking Systems 應用於數位浮水印之快速籬笆知情嵌入法 Yu-Qiao Hong 洪鈺喬 碩士 國立中興大學 通訊工程研究所 98 This paper proposes a informed watermarking based on trellis structure, and divided into informed coding and informed embedding . We present two fast informed embedding algorithms for watermarking system. These algorithms are capable of embedding 1585 bits of message in an gray-level image of size 512X512 pixels. These algorithms employ the codewords of linear block code to label the arcs in the convolutional trellis. With this characteristic, we can easily adjust the fidelity and robustness of watermarked images by some controllable parameters. We report the robustness and complexity performance of these algorithms under the fixed fidelity in comparison with Miller''s. And we show the robustness results in Gaussian noise, lossy compression, low-pass filer and valumetric scaling. Moreover, the proposed algorithms not only has less complexity but also have better BER performance compared with Miller''s. Hou-Shou Chen 陳後守 2010 學位論文 ; thesis 55 zh-TW
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description 碩士 === 國立中興大學 === 通訊工程研究所 === 98 === This paper proposes a informed watermarking based on trellis structure, and divided into informed coding and informed embedding . We present two fast informed embedding algorithms for watermarking system. These algorithms are capable of embedding 1585 bits of message in an gray-level image of size 512X512 pixels. These algorithms employ the codewords of linear block code to label the arcs in the convolutional trellis. With this characteristic, we can easily adjust the fidelity and robustness of watermarked images by some controllable parameters. We report the robustness and complexity performance of these algorithms under the fixed fidelity in comparison with Miller''s. And we show the robustness results in Gaussian noise, lossy compression, low-pass filer and valumetric scaling. Moreover, the proposed algorithms not only has less complexity but also have better BER performance compared with Miller''s.
author2 Hou-Shou Chen
author_facet Hou-Shou Chen
Yu-Qiao Hong
洪鈺喬
author Yu-Qiao Hong
洪鈺喬
spellingShingle Yu-Qiao Hong
洪鈺喬
Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
author_sort Yu-Qiao Hong
title Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
title_short Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
title_full Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
title_fullStr Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
title_full_unstemmed Fast Trellis-Based Informed Embedding for Digital Watermarking Systems
title_sort fast trellis-based informed embedding for digital watermarking systems
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/32574958140021746537
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