篡改人物影像之鑑識系統｜國立臺灣科技大學博碩士論文系統

簡易檢索 / 詳目顯示

回結果列表

研究生：	楊閎宇 YANG-HUNG YU
論文名稱：	篡改人物影像之鑑識系統 The forensics system of tampered image of people
指導教授：	鍾國亮 Kuo-Liang Chung 陳秋華 Chyou-hwa Chen 金台齡 Tai-Ling Chin
口試委員:	方瓊瑤 CHIUNG-YAO FANG 邱士軒 SHIH-HSUAN CHIU
學位類別：	碩士 Master
系所名稱：	電資學院 - 資訊工程系 Department of Computer Science and Information Engineering
論文出版年：	2011
畢業學年度：	99
語文別：	中文
論文頁數：	33
中文關鍵詞：	影像鑑識、JPEG壓縮格式、邊緣檢測、膚色偵測
外文關鍵詞：	Image forensics, JPEG compression format, Edge detection, Skin-Color Detection
相關次數：	點閱：285 下載：1
分享至:	分享至facebook 分享至twitter

查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

近年來，由於影像處理的應用發展快速並日趨重要，如數位相機及影像編輯軟體等，但也延伸出影像更容易遭受篡改等問題。篡改影像如果使用不當可能侵犯到他人的權益，因此，我們提出一種由膚色偵測決定出的候選區域來判定是否遭受篡改。本論文第一步採用策略為JPEG篡改檢測這些候選區域，利用雙重量化效應對候選區域做檢測。第二步為鋸齒狀邊緣檢測，主要檢測後選區域中，因人為裁剪邊緣所產生的鋸齒狀來決定是否遭受篡改。我們實驗測試97張影像包含70張篡改影像及27張無篡改影像，實驗數據說明本系統擁有良好的檢測正確率。

In recent years, the fields of the image processing applications, such as the digital camera and the image editor, are continually growing and quite important. However, it leads to the problems that digital images may easily be modified and altered. The altered images maybe be infringed upon the property-rights when these images are wrong used. Therefore, we proposed a forensics system to detect the candidate tampered regions which are generated by using the human skin color recognition technique. In this thesis, our proposed method combines two strategies which are the tampered-JPEG-image detection and aliasing edges detection. The first adopted strategy, the tampered-JPEG-image detection, is used to detect the candidate tampered regions according to the double quantization effect. Then, the second strategy, aliasing edges detection, is applied to detect the cropped margins of the candidate tampered regions. Based on the ninety-seven test images in including seventy tampered images and twenty-seven original images, the experimental results demonstrate that the proposed system can accurately detect the tampered images.

第一章 緒論............................................................1
1研究計畫背景..................................................1
2研究計畫動機..................................................2
3研究計畫目的..................................................2
第二章 相關背景知識....................................................3
1  RGB色彩空間轉YCbCr色彩空間........................................3
2  形態學............................................................3
3  邊緣檢測..........................................................4
3.1  拉普拉斯測邊算子...........................................4
3.2  Sobel測邊算子..............................................6
4  連接原件標籤......................................................7
5  JPEG影像壓縮格式.............................................9
第三章 影像鑑識文獻介紹...............................................10
1  偽造影像的產生方式...............................................10
2  影像鑑識技術分類.................................................11
3  JPEG雙重壓縮效應 ................................................12
4  篡改邊緣模糊偵測.................................................14
第四章 人物篡改偵測...................................................17
1 基於量化表判斷的篡改鑑定.....................................17
2 針對JPEG影像篡改區域偵測..........................................18
2.1 雙重壓縮效應.........................................18
2.2 量化離散餘弦係數分析.................................20
3人臉膚色偵測.......................................................22
3.1  YCbCr色彩空間膚色偵測...............................22
3.2  臉型幾何性之判定 ...................................24
4 鋸齒邊緣檢測................................................26
4.1. 鋸齒狀模板..........................................26
4.2 鋸齒邊檢測...........................................27
第五章 實驗結果.......................................................29
1 系統流程圖..................................................29
2 實驗數據....................................................30
第六章 結論及未來工作.................................................32
參考文獻..............................................................33

                                

[1]鍾國亮, 影像處理與電腦視覺, 第四版, 東華書局, 2008。
[2] 鍾國亮, 資料壓縮的原理與應用, 第二版, 全華科技圖書股份有限公司, 2004。
[3] Z. G. Wang and C. L. Liu, “A Method of Dynamic Skin Color Correction Applied Display Devices,” IEEE Transaction on Consumer Electronics, Vol. 55, No. 3, pp. 967-972, 2009.
[4] Z. C. Lin, J. F. He, X. Tang, and C. K. Tang, “Fast, Automatic and Fine-Grained Tampered JPEG Image Detection via DCT Coefficient Analysis,” Pattern Recognition, Vol. 42, No. 11, pp. 2492-2501, 2009.
[5] B. J. Yang and J. X. Zuo, “Blur Detection in Image Forensics Using Linear Correlation of Pixels,” Chinese Conference on Pattern Recognition (CCPR), pp. 1-5, 2010.
[6] T. V. Lanh and K. S. Chong, “A Survey On Digital Camera Image Forensic Methods,” IEEE International Conference on Multimedia and Expo, pp.16-19, 2007.
[7] W. Luo and Z. Qu, “A Novel Method For Detecting Cropped And Recompressed Image Block,” IEEE Conference on Acoustic, Speech and Signal Processing (ICASSP), pp. II-217, 2007.
[8] H. Farid, “Image Forgery Detection,” IEEE Signal Processing Magazine, Vol. 26, No. 2, pp.16-25, 2009.
[9] H. Farid, “Exposing Digital Forgeries From JPEG Ghosts,” IEEE Transactions On Information Forensics And Security, Vol. 4, No. 1, pp. 154-160, 2009.
[10] S. N. Yendrikhovskij, F. J. J. Blommaert, and H. de Ridder, “Color reproduction and the naturalness constraint,” Color Research And Application, Vol. 24, No. 1, pp. 52-77, 1999

簡易檢索 / 詳目顯示

相關論文