Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/19526
DC FieldValueLanguage
dc.contributor鄭友銘zh_TW
dc.contributorYu-Ming Chengen_US
dc.contributor蔡淵裕zh_TW
dc.contributorYuan-Yu Tsaien_US
dc.contributor.advisor王宗銘zh_TW
dc.contributor.advisorChung-Ming Wangen_US
dc.contributor.author李維阡zh_TW
dc.contributor.authorLi, Wei-Chianen_US
dc.contributor.other中興大學zh_TW
dc.date2009zh_TW
dc.date.accessioned2014-06-06T07:06:57Z-
dc.date.available2014-06-06T07:06:57Z-
dc.identifierU0005-1208200813123700zh_TW
dc.identifier.citation[Adel1982] E. H. Adelson, “Saturation and Adaptation in the Rod System,” Vision Research, 22:1299-1312, 1982. [Adob2005] Adobe company, The AdobeRGB(1998) Specification, 2005, (http://www.adobe.com/digitalimag/adobergb.html). [Alat2004] M. Alattar, “Reversible Watermark Using the Difference Expansion of a Generalized Integer Transform,” IEEE Transactions on Image Processing, Vol. 13, pp. 1147-1155, 2004. [Ashi2002] M. Ashikhmin, “A Tone Mapping Algorithm for High Contrast Images,” Rendering Techniques 2002 (13th Eurographics Workshop on Rendering), pp. 145-156, 2002. [Ashi2006] M. Ashikhmin and J. Goyal, “A Reality Check for Tone-mapping Operators,” ACM Transactions on Applied Perception, Vol. 3, No. 4, pp. 399-411, 2006. [Bant2006] F. Banterle, P. Ledda, K. Debattista, and A. Chalmers, “Inverse Tone Mapping,” Proceedings of the Fourth International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, pp. 349-356, ACM Press, 2006. [Baue2006] F. L. Bauer, Decrypted Secrets: Methods and Maxims of Cryptology, 4th Edition, Springer, New York, 2006. [Bend1996] W. Bender, D. Gruhl, N. Morimoto, and A. Lu, “Techniques for Data Hiding,” IBM Systems Journal, Vol. 35, No. 3-4, pp. 313-336, 1996. [Boga2003] R. Bogart, F. Kainz, and D. Hess, The OpenEXR File Format, Siggraph 2003 Technical Sketch, 2003 (See also http://www.openexr.com). [Čadí2005] M. Čadík and P. Slavík, “The Naturalness of Reproduced High Dynamic Range Images,” Proceedings of the Ninth International Conference on Information Visualization, pp. 920-925, 2005. [Čadí2006] M. Čadík, M. Wimmer, L. Neumann, and A. Artusi, “Image Attributes and Quality for Evaluation of Tone Mapping Operators,” Proceedings of Pacific Graphics 2006, pp. 35-44, 2006. [Chan2004a] C. K. Chan and L. M. Cheng, “Hiding Data in Images by Simple LSB Substitution,” Pattern Recognition, Vol. 37, pp. 469-474, 2004. [Chan2004b] C. C. Chang and H. W. Tseng, “A Steganographic Method for Digital Images using Side Match,” Pattern Recognition Letters, Vol. 25, pp. 1431-1437, 2004. [Chen2007] Y. M. Cheng and C. M. Wang, “An Adaptive Steganographic Algorithm for 3D polygonal Meshes,” The Visual Computer: International Journal of Computer Graphics, Vol. 23, Issue 9, pp. 721-737, 2007. [Chen2008] Y. M. Cheng and C. M. Wang, “An Adaptive High Dynamic Range Images Steganographic Approach with Authentication,” IEEE Multimedia (Accepted), 2008. [Cox2001] I. J. Cox and M. L. Miller, “Electronic Watermarking: the First 50 Years,” 2001 IEEE Fourth Workshop on Multimedia Signal Processing, pp. 225-230, 2001. [Debe1997] P. E. Debevec and J. Malik, “Recovering High Dynamic Range Images,” Proceeding of the SPIE: Image Sensors, Vol. 3965, pp. 392-401, 1997. [Dica2000] J. Dicarlo and B. Wandell, “Rendering High Dynamic Range Images,” Proceedings of the SPIE: Image Sensors, San Diego, California, Vol. 3965, pp. 392-401, 2000. [Dowl1987] J. E. Dowling, The Retina: An Approachable Part of the Brain, Belknap Press, Cambridge, MA, 1987. [Dura2002] F. Durand and J. Dorsey, “Fast Bilateral Filtering for the Display of High-Dynamic-Range Images,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2002), Vol. 21, No. 3, pp. 257-266, 2002. [Fatt2002] R. Fattal, D. Lischinski, and M. Werman, “Gradient Domain High Dynamic Range Compression,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2002), Vol. 21, No. 3, pp. 249-256, 2002. [Ferw1996] J. A. Ferwerda, S. N. Pattanaik, P. Shirley, and D. P. Greenberg, “An Adaptation Model for Realistic Image Synthesis,” Proceedings of SIGGRAPH ‘96, pp. 249-258. [Gonz2008] R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd Edition, Prentice Hall, 2008. [Hood1979] D. C. Hood and M. A. Finkelstein, “Comparison of Changes in Sensitivity and Sensation: Implications for the Response-intensity Function of the Human Photopic System,” Journal of Experimental Psychology: Human Perceptual Performance, Vol. 5, pp. 391-405, 1979. [ITU1990] ITU (International Telecommunication Union), Geneva, ITU-R Recommendation BT.709, Basic Parameter Values for the HDTV Standard for the Studio and for International Programme Exchange, 1990 (Formerly CCIR Rec. 709). [John2001] N. F. Johnson, Z. Duric, and S. Jajodia, Information Hiding: Steganography and Watermarking - Attacks and Countermeasures, Kluwer Academic Publisher, London, 2001. [Katz2000] S. Katzenbeisser and F. A. P. Petitcolas, Information Hiding Techniques for Steganography and Digital Watermarking, Artech House, London, 2000. [Ledd2005] P. Ledda, A. Chalmers, T. Troscianko, and H. Seetzen, “Evaluation of Tone Mapping Operators Using a High Dynamic Range Display,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2005), Vol. 24, No. 3, pp. 640-648, 2005. [Li2000] X. Li and H. H. Yu, “Transparent and Robust Audio Data Hiding in Subband Domain,” Proceedings of International Conference on Information Technology: Coding and Computing, pp. 74-79, 2000. [Lin1999] E. T. Lin and E. J. Delp. “A Review of Data Hiding in Digital Images,” Proceedings of Image Processing, Image Quality, Image Capture Systems, pp. 274-278, 1999. [Liu2007] T. Y. Liu and W. H. Tsai, “A New Steganographic Method for Data Hiding in Microsoft Word Documents by a Change Tracking Technique,” IEEE Transactions on Information Forensics and Security, Vol. 2, pp. 24-30, 2007. [Mant2004] R. Mantiuk, K. Myszkowski, and H.-P. Seidel, “Visible Difference Predicator for High Dynamic Range Images,” Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, pp. 2763-2769, 2004. [Meyl2006] L. Meylan, S. Daly, and S. Süsstrunk, “The Reproduction of Specular Highlights on High Dynamic Range Displays,” Proceedings of IS&T/SID 14th Color Imaging Conference, 2006. [Meyl2007] L. Meylan, D. Alleysson, and S. Süsstrunk, “A Model of Retinal Local Adaptation for the Tone Mapping of Color Filter Array Images,” Journal of the Optical Society of America A (JOSAA), Vol. 24, No. 9, pp. 2807-2816, 2007. [Miel2006] J. Mielikainen, “LSB Matching Revisited,” IEEE Signal Processing Letters, Vol. 13, No. 5, pp. 285-287, 2006. [Moro2002] N. Moroney, M. D. Fairchild, R.W. G. Hunt, C. J. Li, M. R. Luo, and T. Newman, “The CIECAM02 Color Appearance Model,” IS&T 10th Color Imaging Conference, pp. 23-27, 2002. [Naka1966] K. I. Naka and W. A. H. Rushton, “S-potentials from Luminosity Units in the Retina of Fish (Cyprinidae),” Journal of Physiology, 185:587-599, 1966. [Ni2006] Z. Ni, Y. Q. Shi, N. Ansari, and W. Su, “Reversible Data Hiding,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 38, No. 25, pp. 1646-1648, 2006. [Payn2004] A. Payne, W. DeGroot, R. Monteverde, and D. Amm, “Enabling High Datarate Imaging Applications with Grating Light Valve Technology,” Photonics West 2004 - Micromachining and Microfabrication Symposium, 2004. [Pfit1996] B. Pfitzmann, “Information Hiding Terminology - Results of an Informal Plenary Meeting and Additional Proposals,” Proceedings of the First International Workshop on Information Hiding, pp. 347-350, 1996. [Piti1999] F. A. P. Petitcolas, R. J. Anderson, and M. G. Kuhn, “Information Hiding-A Survey,” Proceedings of the IEEE: Special Issue on Identification and Protection of Multimedia Content, Vol. 87, pp. 1062-1078, 1999. [Rafa2005] M. Rafał, D. Scott, M. Karol, and S. Hans-Peter, “Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration,” Proceedings of Human Vision and Electronic Imaging X, IS&T/SPIE''s 17th Annual Symposium on Electronic Imaging, pp. 204-214, 2005. [Rein2002] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic Tone Reproduction for Digital Images,” ACM Transactions on Graphics, Vol. 21, No. 3, pp. 267-276, 2002. [Rein2003] E. Reinhard, “Parameter Estimation for Photographic Tone Reproduction,” Journal of Graphics Tools, Vol. 7, No. 1, pp. 45-51, 2003. [Rein2005a] E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High Dynamic Range Imaging, Morgan Kaufmann Publishers, 2005. [Rein2005b] E. Reinhard and K. Devlin, “Dynamic Range Reduction Inspired by Photoreceptor Physiology,” IEEE Transactions on Visualization and Computer Graphics, Vol. 11, No. 1, pp. 13-24, 2005. [Schn1996] B. Schneier, Applied Cryptography, Second Edition, Wiley, New York, 1996. [Seet2004] H. Seetzen, W. Heidrich, W. Stuerzlinger, G. Ward, L. Trentacoste, M. Whitehead, A. Ghosh, and A. Vorozcovs, “High Dynamic Range Display Systems,” ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH 2004), Vol. 23, No. 3, pp.760-768, 2004. [Simm1984] G. J. Simmons, “The Prisoners' Problem and the Subliminal Channel,” Proceedings of CRYPTO ''83, Plenum Press, pp. 51-67, 1984. [Smit2006] K. Smith, G. Krawczyk, K. Myszkowski, and H. P. Seidel, “Beyond Tone Mapping: Enhanced Depiction of Tone Mapped HDR Images,” Computer Graphics Forum (Proceedings of Eurographics 2006), Vol. 25, No. 3, pp. 427-438, 2006. [Stok1996] M. Stokes, M. Anderson, S. Chandrasekar, and R. Motta, “Standard Default Color Space for the Internet,” 1996, (http://www.w3.org/Graphics/Color/sRGB). [Swan1997] M. D. Swanson, B. Zhu, and A. H. Tewfik, “Data Hiding for Video-in-Video,” Proceedings of International Conference on Image Processing, Vol. 2, pp. 676-679, 1997. [Tai2006] S. C. Tai, Y. Y. Chang, J. H. Cheng, and C. Y. Chi, “High Dynamic Range Compression with Detail Refinement in Network Communication,” Proceedings of the IASTED International Conference Web Technologies, Applications, and Services, pp. 156-161, 2006. [Tsai2006] Y. Y. Tsai, C. M. Wang, Y. M. Cheng, C. H. Chang, and P. C. Wang, “Steganography on 3D Models Using a Spatial Subdivision Technique,” Lecture Notes in Computer Science (Proceedings of Computer Graphics International), Vol. 4035, pp. 469-476, 2006. [Trap2006] W. Trappe and L. C. Washington, Introduction to Cryptography with Coding Theory. Second Edition, Prentice Hall, 2006. [Tren2007] M. Trentacoste, W. Heidrich, L. Whitehead, H. Seetzen, and G. Ward, “Photometric Image Processing for High Dynamic Range Displays,” Journal of Visual Communication and Image Representation, Vol. 18, No. 5, pp. 439-451, 2007. [Walr1984] J. Walraven and J. M. Valeton, “Visual Adaptation and Response Saturation,” A. J. van Doorn, W. A. van de Grind, and J. J. Koenderink (eds.), Limits of Perception, Utrecht: VNU Press, 1984. [Wang2001] R. Z. Wang, C. F. Lin, and J. C. Lin, “Image Hiding by Optimal LSB Substitution and Genetic Algorithm,” Pattern Recognition, Vol. 34, pp. 671-683, 2001. [Wang2005] C. M. Wang, Y. M. Cheng, Y. P. Tzeng, H. W. Kan, Y. H. Huang, P. Y. Leu, and Y. S. Hsieh, “A Novel Data Hiding Algorithm for HDR Images Based on a Modified Side Match Scheme,” Journal of Engineering, National Chung Hsing University, Vol. 16, No. 3, pp. 209-220, 2005 (in Chinese). [Wang2008] C. M. Wang, N. I. Wu, and C. S. Tsai, “A High Quality Steganographic Method with Pixel-value Differencing and Modulus Function,” The Journal of Systems and Software, Vol. 81, pp. 150-158, 2008. [Ward1991] G. Ward, “Real Pixels,” Graphics Gems II, Edited by J. Arvo, Academic Press, pp. 80-83, 1991. [Ward1998] G. Ward-Larson and R. A. Shakespeare, Rendering with Radiance, Morgan Kaufmann, San Francisco, 1998. [Ward2004] G. Ward and M. Simmons, “Subband Encoding of High Dynamic Range Imagery,” Proceedings of the First Symposium on Applied Perception in Graphics and Visualization (APGV), pp. 83-90, 2004. [Ward2005] G. Ward and M. Simmons, “JPEG-HDR: A Backwards-Compatible, High Dynamic Range Extension to JPEG,” Proceedings of IS&T/SID 13th Color Imaging Conference, pp. 283-290, 2005. [Wayn2002] P. Wayner, Disappearing Cryptography - Information Hiding: Steganography & Watermarking, Second Edition, Morgan Kaufmann, San Francisco, 2002 [Wils1998] H. R. Wilson and J. Kim, “Dynamics of a Divisive Gain Control in Human Vision,” Vision Research, 38:2735-2741, 1998. [Wu2007] J. L. Wu and S. S. Chu, “An Effective Reversible Data Hiding Technique for High Dynamic Range Images,” Proceedings of the Second Conference on Digital Contents Management and Applications, 2007. [Xu2005] R. Xu, S. N. Pattanaik, and C. E. Hughes, “High-Dynamic-Range Still-Image Encoding in JPEG 2000,” IEEE Computer Graphics and Applications, Vol. 25, pp. 57-64, Issue 6, 2005.zh_TW
dc.identifier.urihttp://hdl.handle.net/11455/19526-
dc.description.abstract資料隱藏技術在秘密通訊與資訊安全中,佔有舉足輕重的地位。常見其使用傳統低動態範圍影像為掩護影像,嵌入秘密資訊後產生偽裝影像。高動態範圍影像能呈現出真實世界的亮度與色彩,符合人類視覺的觀感,也必將成為數位影像的新標竿。有鑑於此,本文以目前最廣為應用的Radiance RGBE高動態範圍影像格式為基礎,以增進藏量、提高視覺品質與符合人類視覺特性為目標,研發出二個獨創的高動態範圍影像資料隱藏演算法。 我們所提的第一個演算法為「高容量且高品質的高動態範圍影像資料隱藏演算法」。此方法是透過RGBE格式獨有的屬性,考量影像明亮度的分佈特性與相鄰像素的差異程度。藉由可適應性的方式來預估單一像素所允許的資訊嵌入量,並根據人類視覺對各個色彩頻道的靈敏度不同,而將此預估的資訊嵌入量分配於各個色彩頻道之中。透過上述的步驟,再加上我們獨創的訊息嵌入方式,演算法能有效地在提高資訊嵌入容量時,也降低所引起的影像失真性,進而產生具有高容量且高品質特性的偽裝影像。 我們所提的第二個演算法為「基於人類視覺靈敏度之高動態範圍影像資料隱藏演算法」。這個演算法是根據人類視覺靈敏度的學理與實驗結果,改進第一個演算法中資訊嵌入量的估測步驟。我們透過分析影像亮度分佈之特性動態區分出數個亮度層級;我們也自動評估該影像像素的最大與最小可嵌入資訊量,並以非線性的方式對應到所區分出的亮度層級,計算出亮度層級可嵌入的秘密訊息量。此演算法透過更符合人類視覺特性的嵌入量預估方式,大幅提升資訊藏量。 實驗結果與現存技術比較後顯示:透過我們所提出的兩個演算法不但大幅提高了資訊嵌入量,且所產生之偽裝影像也具有更優異的視覺品質。經量化顯示:第一個演算法平均每一個像素達到約11.6~13.5位元的高藏量;第二個演算法更大幅將藏量提升至平均每一個像素約12.9~20.3位元。本文所提的兩個演算法具有七大特性,分別為(1)切合高動態範圍影像格式的特性、(2)很高的訊息嵌入量、(3)極佳的視覺品質、(4)符合人類視覺靈敏度的可適應性、(5)獨創的訊息嵌入方式、(6)高安全性與(7)盲擷取性。本研究具有下列三大貢獻:(1)獨創性、(2)現存技術中具有最高藏量與(3)現存技術中最符合人類視覺的特性。zh_TW
dc.description.abstractHigh dynamic range images demonstrate significant advantages over the low dynamic range images. With the popularity of the Internet, steganography becomes more important as a means of concealing information from prying eyes before ultimately reaching its intended destination. This thesis presents two steganographic algorithms, which utilize a high dynamic range image as the cover image to embed secret message to become the stego image that can be applied for the covert communication. The first algorithm we propose is a high capacity and quality steganographic algorithm for high dynamic range images. Given an input high dynamic range image with the RGBE format, our algorithm considers the luminance distribution characterized in the cover image and the intensity difference existed in the neighboring pixels. The algorithm estimates the overall amount of message that can be embedded in a single pixel. Then, different red, green, and blue channels are assigned to certain parts of the overall message based on the color sensitivity inherent from the human vision. Finally, we present an original embedding technique to embed the payloads at each color channel. This allows our algorithm to be able to embed a great number of secret messages, yet producing the stego high dynamic range image with high visual quality. The second algorithm we propose is a steganographic algorithm for high dynamic range images based on human visual sensitivity. This algorithm improves the estimation step encountered in the first algorithm to determine the potential embedding capacity. In particular, we analyze the luminance distribution in the cover image and determine a number of appropriate levels into which secrete message can be embedded accordingly. Once the maximal and minimal capacity that can be embedded in a pixel are settled, we proceed on non-linear mapping of these two extremes to various luminance levels being determined. This allows our algorithm to estimate the possible embedding capacity using more precise information for the human visual sensitivity. As a consequence, the embedding capacity can be increased significantly. Experimental results show that, on average, the embedding capacity can achieve to the magnitude of 11.6~13.5 bits per pixel when using our first algorithm. In addition, we can increase the capacity to 12.9~20.3 bits per pixel when employing the second algorithm. To the best of our knowledge, this capacity is the highest in the literature of steganography for high dynamic range images. Our two algorithms have the following characteristics; namely, (1) appropriate to characteristics of high dynamic range images, (2) extremely high capacity, (3) high visual quality, (4) adaptability based on the human visual sensitivity, (5) the original embedding technique, (6) secure steganography, and (7) belonging to the blind detection scheme. The major contribution of our thesis includes the steganographic algorithms we proposed contain the originality, it has the highest capacity in the literature, and the algorithm makes full use of the human visual characteristics.en_US
dc.description.tableofcontents誌 謝 ……………………………………………… i 摘 要 ………………………………………………… ii Abstract ………………………………………………… iii 目 次 ………………………………………………… v 圖 目 次 ……………………………………………… viii 表 目 次 ……………………………………………… xi 第一章 緒論 1 1.1 研究動機 ……………………………………… 1 1.2 研究目的 ……………………………………… 7 1.3 論文架構 ……………………………………… 11 第二章 相關文獻探討 12 2.1 人類視覺特性之剖析 ………………………… 12 2.1.1 色彩空間 ………………………………… 14 2.1.2 人類視覺對明亮度的可適應性 ………… 16 2.2 高動態範圍影像之介紹 …………………… 21 2.2.1 Radiance RGBE 格式 …………………… 22 2.2.2 影像的鍵值 ……………………………… 24 2.2.3視覺差異估算器 …………………………… 27 2.3 高動態範圍影像資料隱藏演算法之探討 …… 28 2.3.1 相關文獻[Wang2005]的演算法流程 …… 28 2.3.2相關文獻[Chen2008]的演算法流程 …… 30 2.3.3 相關文獻[Wu2007]的演算法流程 …… 32 2.4 相關研究分析與心得 ………………………… 33 第三章 高容量且高品質的 高動態範圍影像資料隱藏演算法 35 3.1 演算法概要 …………………………………… 35 3.2 演算法流程的三大步驟 ……………………… 37 3.2.1 預估嵌入量 ……………………………… 37 3.2.2 修正嵌入量 ……………………………… 39 3.2.3 分配色彩頻道嵌入量 …………………… 41 3.3 實驗結果與分析 ……………………………… 46 3.4 小結 …………………………………………… 50 第四章 基於人類視覺靈敏度之 高動態範圍影像資料隱藏演算法 52 4.1 演算法概要 …………………………………… 52 4.2 演算法流程的四大步驟 ……………………… 54 4.2.1 影像特性分析 …………………………… 55 4.2.2 動態決定像素隱藏量 …………………… 57 4.2.3 分配色彩頻道變動量 …………………… 65 4.2.4 訊息嵌入與擷取演算法 ………………… 67 4.3 實驗結果與分析 ……………………………… 71 4.4因色調映射技術而產生的問題 ……………… 75 4.5 小結 …………………………………………… 78 第五章 結論與未來工作 80 5.1結論 ………………………………………… 80 5.2未來工作 …………………………………… 83 參考文獻 …………………………………………… 84 中英對照表 ………………………………………… 95 英中對照表 ………………………………………… 98 附錄A ………………………………………………… 102zh_TW
dc.language.isoen_USzh_TW
dc.publisher資訊科學與工程學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-1208200813123700en_US
dc.subjecthigh dynamic range imagesen_US
dc.subject高動態範圍影像zh_TW
dc.subjectsteganographyen_US
dc.subjecthigh capacityen_US
dc.subjecthigh visual qualityen_US
dc.subjecthuman visual sensitivityen_US
dc.subjectadaptabilityen_US
dc.subject資料隱藏技術zh_TW
dc.subject高容量zh_TW
dc.subject高視覺品質zh_TW
dc.subject人類視覺敏感度zh_TW
dc.subject可適應性zh_TW
dc.title基於人類視覺靈敏度的高藏量高動態範圍影像資料隱藏演算法之研究zh_TW
dc.titleA Study of High Capacity Steganographic Algorithms for High Dynamic Range Images Based on Human Visual Sensitivityen_US
dc.typeThesis and Dissertationzh_TW
item.grantfulltextnone-
item.openairetypeThesis and Dissertation-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:資訊科學與工程學系所
Show simple item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.