臺灣博碩士論文加值系統

本論文提出一套通用之抗隱藏偵測的演算法架構。在此架構中，我們將考量影像品質、人眼視覺、統計特性和位元錯誤率等因素建立評估函數，透過此評估函數，引導並提昇資料隱藏法則的效能。為了驗證此演算法，本論文實際應用於spatial domain和DCT domain之資料隱藏法則上，並進行效能評估。

In this paper, we present a new method to tell the encoder how to embed the secret data into cover image under some conditions. First, let the stego image can pass the steganalysis test and simultaneously arrive high image quality.

第一章 簡介…………………………………………..…..………..... 01
1.1 研究動機與應用………………………..…………………… 01
1.2 文獻回顧……………………………..……………………… 03
第二章 基本技術……..………………………..…..…………………. 06
2.1 HVS model……………………....……..………..…………… 06
2.1.1 DCT domain之HVS model……………………..……06
2.1.1 Spatial domain之HVS model……………………...…08
2.2模擬退火演算法…….………...………..……………………11 2.3 基因演算法………………………………..…………….…... 13
2.4 Steganalysis model………………………………..…………17
第三章 系統介紹……………………………………….…………….19
第四章 DCT domain上的資料嵌入法則………………...……...… 22
4.1 資料隱藏法則[24]之回顧………………….…………...……22
4.2 結合模擬退火演算法之DCT domain資料嵌入法則…….…25
4.3 實驗結果與分析………………………………………...……35
4.3.1實驗數據…………………………………………..……38
4.3.2實驗結果分析……………………..……………………44
4.3.3 可調適性L值………………………………………….45
第五章 Pixel domain上的資料嵌入法則……...…………………... 47
5.1 結合基因演算法之spatial domain資料嵌入法則……...… 47
5.2 實驗結果與分析…………………………………………… 53
第六章 結論與未來研究方向……………………..…………………52
6.1 結論……………………………………………….…………..57
6.2 未來研究方向……………………………………………….57
附錄A…………………………………………….…………..…………58
附錄B…………………………………………….…………..…………60
附錄C…………………………………………….…………..…………62
參考文獻…………..…………………..………………………………. 64

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