請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/32951
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 貝蘇章(Soo-Chang Pei) | |
dc.contributor.author | Chih-Jung Yu | en |
dc.contributor.author | 余芝融 | zh_TW |
dc.date.accessioned | 2021-06-13T04:19:58Z | - |
dc.date.available | 2021-07-27 | |
dc.date.copyright | 2011-08-03 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-07-27 | |
dc.identifier.citation | [1] J. Fridrich, R. Du, and L. Meng, “Steganalysis of LSB Encoding in Color Im-ages,” in Proceedings of the IEEE International Conference on Multimedia and Expo, Aug. 2000.
[2] S. Stankovic, I. Djurovic, and I. Pitas, “Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribu-tion,” IEEE Trans. Image Processing, vol. 10, pp. 650–658, Apr. 2001. [3] D. Asatryan and N. Asatryan, “Combined spatial and frequency domain water-marking,” in Proceedings of the 7th International Conference on Computer Science and Information Technologies, pp. 323-326, 2009. [4] K. Ganesan and Tarun Kumar Guptha, “Multiple Binary Images Watermarking in Spatial and Frequency Domains,” Signal & Image Processing: An International Journal (SIPIJ), Vol.1, No.2, pp. 148-159, Dec. 2010. [5] J.D. Foley, A. van Dam, S.K. Feiner, and J.F. Hughes, Computer Graphics: Prin-ciples and Practice, Second Edition, Addison-Wesley, Reading, MA, 1990. [6] Robert L. G., “Picture coding using pseudo-random noise,” IRE Trans. Informa-tion Theory, Vol. IT-8, pp. 145-154, 1962. [7] P. Stucki, “MECCA-A Multiple-error correcting computation algorithm for bi-level image hardcopy reproduction,” Tech. Rep. RZ1060, IBM Research Lab, Zurich, Switzerland, 1981. [8] L. D. Crocker, M. Morra, and P. Boulay, “Digital Halftoning,” Computer Lab and Reference Library, 1991. Available at: http://www.efg2.com/Lab/Library/ImageProcessing/DHALF.TXT [9] Aristofanes C. Silva, P. S. Lucena, and W. B. Figurola, Image Based Aritsic Di-thering, Visgraf Lab, 2000. Available at:http://www.visgraf.impa.br/Courses/ip00/proj/Dithering1/ [10] Robert Ulichney, Digital Halftoning, Cambridge, MA : MIT Press 1987. [11] Y. S. Lai and Brain K. Lien, “Random Position Orthography Halftoning,” confe-rence on computer Vision, Graphics and Image Processing, pp. 559-563, 1999. [12] B. E. Bayer, “An optimum method for two level rendition of continuous-tone pic-tures,” IEEE Int. Conf. Commun., Vol. 1, pp. 11-15, 1973. [13] Henry R. Kang, Digital Color Halftoning, Peerless Systems Corporation, 1999. [14] J. O. Limb, “Design of dither waveforms for quantized visual signal,” Bell Sys. Tech. J., Vol. 48, pp.2555-2582, 1969. [15] B. Lippel and M. Kurland, “The effect of dither on luminance quantization of pictures,” IEEE Trans. on Commun. Tech., Vol. 6, pp.879-888, 1971. [16] C. N. Judice, J. F. Jarvis, and W. H. Ninke, “Using ordered dither to display con-tinuous tone pictures on an AC plasma panel,” in Proc. SID, Vol. 15, pp. 161-169, 1974. [17] R. W. Floyd and L. Steinberg, “Adaptive algorithm for spatial grey scale,” in Proc. SID Int. Digest of Tech. Papers, pp.36-37, 1975. [18] R. W. Floyd and L. Steinberg, “An adaptive algorithm for spatial grayscale,” in Proc. SID, vol.17/2, pp.75-77, 1976. [19] R. Ulichney, “Dithering with blue noise,” Proc. IEEE, vol. 76, no.1, pp.56-79, 1988. [20] J. F. Jarvis, C. N. Judice, and W. H. Ninke, “A survey of techniques for the dis-play of continuous-tone pictures on bilevel displays,” Comp. Graph. Image Processing, vol.5, pp.13-40, 1976. [21] P. Stucki, “MECCA-a multiple-error correcting computation algorithm for bilevel image hardcopy reproduction,” Res. Rep. RZ1060, IBM Res. Lab., Zurich, Swit-zerland, 1981. [22] L. Velho and J.M. Gomes, “Digital Halftoning with Space Filling Curves,” Com-puter Graphics (Proceedings of SIGGRAPH 91), vol. 25, no. 4, pp. 81-90, July 1991. [23] I. H. Witten and R. M. Neal, “Using peano curves for bilevel display of conti-nuous-tone images,” IEEE Comp. Graphics & Appl., vol. 2, no.3, pp. 47-52, 1982. [24] M. S. Fu and O. C. Au, “Data hiding in halftone images by stochastic error diffu-sion,” Proc. IEEE Int’l Conf. Acoustic, Speech, and Signal Processing, IEEE CS Press, pp. 1965-1968, 2001. [25] V. Ostromoukhov, “A simple and efficient error-diffusion algorithm,” Computer Graphics (Proceedings of SIGGRAPH 2001), pp. 567-572, 2001. [26] S. C. Pei and J. M. Guo, “Data hiding in halftone image with noise-balanced error diffusion,” Trans. IEEE Signal Processing, vol. 10, no. 12, pp.349-351, 2003. [27] J. M. Guo and Y. F. Liu, “Hiding multitone watermarks in halftone images,” IEEE Multimedia, vol. 17, no. 1, pp. 34-43, Mar. 2010. [28] E. J. Delp and O. R. Mitchell, “Image compression using block truncation cod-ing,” IEEE Trans. on Commun., vol. COMM-27, no. 9, pp. 1335-1342, Sep. 1979. [29] M. D. Lena and O.R. Mitchell, “Absolute Moment Block Truncation Coding and its Application to Color Images,” IEEE Trans. on Commun., vol. COMM-32, No. 10, pp. 1148- 1157, Oct. 1984. [30] J. M. Guo, “Improved block truncation coding using modified error diffusion,” IET Electronics Letters, vol. 44, no. 7, pp. 462-464, Mar. 2008. [31] J. M. Guo and C. Y. Lin, “Parallel and element-reduced error-diffused block trun-cation coding,” IEEE Trans. on Commun., vol. 58, no. 5, May 2010. [32] P. Li and J. P. Allebach, “Block interlaced pinwheel error diffusion,” Journal of Electronic Imaging, vol. 14, no.2, pp. 023007, 2005. [33] J. M. Guo and M. F. Wu, “Improved block truncation coding based on the void-and-cluster dithering approach,” IEEE Trans. Image Process., vol. 18, pp. 211-212, Jan. 2009. [34] J. M. Guo, “High efficiency ordered dither block truncation coding with dither array LUT and its scalable coding application,” Digital Signal Processing, vol. 20, no. 1, pp. 97-110, Jan. 2010. [35] R. Ulichney, “The void-and-cluster method for dither array generation”, in Proc. SPIE, Human Vision, Visual Processing, Digital Displays IV, vol. 1913, pp. 332–343, 1993. [36] C. K. Chiang, “Design of digital halftoning system for LCD,” M. S. thesis, Chung-Hua University, Hsinchu, Taiwan, 2003. [37] D. Gabor, “A new microscopic principle,” Nature, vol. 161, pp. 777-778, May 1948. [38] J. W. Goodman, Introduction to Fourier Optics, New York: McGraw-Hill, 1968. [39] E. N. Leith and J. Upatnieks, “Reconstructed wavefronts and communication theory,” J. Opt. Soc. Am., vol.52, pp.1123-1130, Oct. 1962. [40] E. N. Leith and J. Upatnieks, “Wavefront reconstruction with continuous-tone ob-ject,” J. Opt. Soc. Am., vol.53, pp.1377-1381, Dec. 1963. [41] E. N. Leith and J. Upatnieks, “Wavefront reconstruction with diffused illumina-tion and three-dimensional objects,” J. Opt. Soc. Am., vol.54, pp.1295-1301, Nov. 1964. [42] E. N. Leith and J. Upatnieks, “Holograms: their properties and uses,” SPIE J., vol. 4, pp. 3-6, 1965. [43] N. Takai and Y. Mifune, “Digital watermarking by a holographic technique,” Appl. Opt., vol. 41, no. 5, pp. 865-873, Feb. 2002. [44] S. Huang, S. Wang, and Y. Yu, “Computer generated holography based on Fourier transform using conjugate symmetric extension,” Acta Phys. Sin., vol. 58, no. 2, pp. 952-958, Feb. 2009 (in Chinese). [45] L. J. Sun and S. L. Zhuang, “Watermarking by encrypted Fourier holography,” Opt. Eng., vol. 46, no.8, pp.0858011- 0858014, Aug. 2007. [46] S. Wang, S. Huang, X. Zhang, and W. Wu, “Hologram-based watermarking capa-ble of surviving print-scan process,” Appl. Opt., vol. 49, no. 7, pp. 1170-1178, Mar. 2010. [47] S. Kishk and B. Javidi, “Information hiding technique with double phase encod-ing,” Appl. Opt., vol. 41, no. 26, pp. 5462-5470, Sep. 2002. [48] L. F. Chen and D.M. Zhao, “Color information processing (coding and synthesis) with fractional Fourier transforms and digital holography,” Opt. Express, vol. 15, No. 24, pp. 16080–16089, Nov. 2007. [49] R. C. Gonzalez, R. E. Woods, Digital Image Processing second edition, Prentice Hall, 2002 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/32951 | - |
dc.description.abstract | 隨著電腦與網路的快速發展,人們可以很輕鬆的經由電腦與網路存取數位影像。然而,對於一般未經壓縮處理過的數位影像,其往往需要佔用大量的記憶體空間,如此龐大的資料量也使得傳輸的效率降低。區塊截斷編碼(Block truncation coding)是一個很簡單且有效的影像壓縮方法,但比起現今常見的影像壓縮標準,區塊截斷編碼在壓縮率較大時,會產生明顯的區塊效應與紋理雜訊。因此,利用半色調能在視覺上產生近似連續色調的影像特性,結合半色調和區塊截斷編碼的影像壓縮方式,可以有效的提升影像的品質。在本論文中,我們改良了兩個結合半色調和區塊截斷碼的壓縮方法來提升輸出影像的品質。
有鑑於數位資訊具有被複製與存取的風險存在,為避免盜版及未經授權的資料被任意存取,故採取全像術的方式將浮水印資訊嵌入多媒體檔案內,以確保著作人的智慧財產權。基於傳統光學的全像術,需要較繁雜的儀器校準步驟,且需使用額外的全像片來記錄訊息,在分析成像資訊時亦較為麻煩,因此本篇論文中,介紹利用電腦計算全像術的原理來嵌入浮水印,如此要分析或存取影像訊號時,將較為快速且準確。 | zh_TW |
dc.description.abstract | With the advancement of computers and the Internet, multimedia contents are very popular and easy to obtain. However, it often requires a large amount of memory storage to record the complex information contains in these multimedia contents. Thus, transmitting uncompressed digital media through the internet may be impractical. Block truncation coding (BTC) is a simple and efficient compression technology. However, the annoying blocking effect and false contour accompanied in high coding gain limit the application when compares to some modern compression technique. In order to improve the image quality, some halftoning techniques is combined with the BTC. In this study, we modify the schemes of two existing compression techniques which were based on BTC, and try to enhance the image quality.
In addition, the surge of digital media is also creating a pressing need for copyright protection and content authentication. To avoid counterfeiting or unauthorized docu-ments being used, we could hide a set of auxiliary data, called digital watermark, into the original content. One of the watermarking techniques can be achieved by holography. While traditional holography is mostly obtained by optical interferometric equipments that require excessive setups, calibrations, and additional recording materials, the computer-generated holography is readily accomplished by computer manipulation. Hence, in this thesis, we also discussed several watermark embedding technique based on computer-generated holographic approach. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T04:19:58Z (GMT). No. of bitstreams: 1 ntu-100-R98942058-1.pdf: 20657246 bytes, checksum: 09863cfd34a09baa65da2fde073de82d (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 iii ABSTRACT v CONTENTS vii LIST OF FIGURES xi LIST OF TABLES xvii Chapter 1 Introduction 1 Chapter 2 Digital Watermarking 3 2.1 Introduction 3 2.2 Watermarking Techniques 4 2.2.1 Watermarking in Spatial Domain 5 2.2.2 Watermarking in Transform Domain 5 2.3 Watermark Classification 7 2.3.1 Visible Watermarks 7 2.3.2 Invisible Fragile Watermarks 8 2.3.3 Invisible Robust Watermarks 8 Chapter 3 Digital Halftoning and Watermarking 11 3.1 Table Halftoning 11 3.2 Threshold Halftoning 15 3.2.1 Fixed Thresholding 16 3.2.2 Random Dithering 18 3.2.3 Ordered Dithering 19 3.3 Error Diffusion 25 3.3.1 Error Kernels 27 3.3.2 Scanning Path 30 3.4 Digital Watermarking by Halftoning 30 3.4.1 Hiding Watermarks by Standard and Generalized Noise-Balance Error Diffusion 31 3.4.2 Simulation Result 39 3.5 Discussion 47 Chapter 4 Related Works in Block Truncation Coding 49 4.1 Traditional Block Truncation Coding 49 4.2 Error-Diffused Block Truncation Coding 51 4.3 Improved Block Truncation Coding Using Modified Error Diffusion 53 4.4 Element-Reduction Error-Diffused Block Truncation Coding 54 4.5 Interlaced Error-Diffused Block Truncation Coding 56 4.6 Ordered Dither Block Truncation Coding 58 4.7 Adaptive Ordered Dither Block Truncation Coding 63 4.8 Ordered Dither Block Truncation Coding with Interlaced Error Diffusion 67 4.9 Simulation Results 70 4.10 Discussion 83 Chapter 5 Digital Holography and Watermarking 85 5.1 Introduction to Holography 85 5.1.1 Basic Concept of Holography 85 5.2 Computer-Generated Holography 89 5.2.1 Fourier Domain Holography 89 5.2.2 Fourier-Based Conjugate Symmetric Extended holography 92 5.3 Digital Watermarking by Holographic Techniques 96 5.3.1 Constant-Level and Image-Dependent Weighting 97 5.3.2 Double Random Phase Encoding 100 5.3.3 Watermarking in Discrete Cosine Domain 108 5.4 Simulation Results 115 5.5 Discussion 137 Chapter 6 Conclusion and Future Work 139 REFERENCE 143 | |
dc.language.iso | en | |
dc.title | 區塊截斷碼與全像術於影像編碼及浮水印之研究 | zh_TW |
dc.title | Image Coding and Watermarking Using Block Truncation
Coding and Holography | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 林康平(Kang-Ping Lin),杭學鳴(Hsueh-Ming Hang),丁建均(Jian-Jiun Ding),郭景明(Jing-Ming Guo) | |
dc.subject.keyword | 半色調,區塊截斷編碼,數位浮水印,數位全像術, | zh_TW |
dc.subject.keyword | Halftoning,Block Truncation Coding,Digital Watermarking,Digital Holography, | en |
dc.relation.page | 149 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-07-28 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
顯示於系所單位: | 電信工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-100-1.pdf 目前未授權公開取用 | 20.17 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。