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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳宏銘 | |
| dc.contributor.author | Bing-Yi Wong | en |
| dc.contributor.author | 翁秉義 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:45:12Z | - |
| dc.date.available | 2011-08-19 | |
| dc.date.copyright | 2009-08-19 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-07-09 | |
| dc.identifier.citation | 參考文獻
[1] J.-F. Lalonde, D. Hoeim, A. A. Efros, C. Rother, J. W. and A. Criminisi, “Photo Clip Art,” ACM Transactions on Graphics (SIGGRAPH 2007), Vol. 26, No. 3, Jul. 2007 [2] J. Jia, J. Sun, C.-K. Tang and H.-Y. Shum, “Drag-and-Drop Pasting,” ACM Transactions on Graphics (SIGGRAPH 2006), Vol. 25, No. 3, Jul. 2006. [3] E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, “Color Transfer between Images,” IEEE Computer Graphics and Applications, Vol. 21, No. 5, Sep/Oct. 2001 Pages:34 - 41 [4] P. Pérez, M. Gangnet, and A. Blake, “Poisson Image Editing,” ACM Transactions on Graphics (SIGGRAPH 2003), Vol. 22, No. 3, Jul. 2003. [5] J.-F. Lalonde and A. A. Efros, “Using Color Compatibility for Assessing Image Realism,” In Proc. IEEE International Conference on Computer Vision, Pages:14 - 21, 2007. [6] I. Omer and M. Werman, “Color-Lines: Image Specific Color Representation,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Pages:II-946 – II-953, 2004. [7] F. Cutzu, R. Hammoud, A. Leykin, “Estimating the Photorealism of Images: Distinguishing Paintings from Photographs,” in Proc. IEEE Conference on Computer Vision and Pattern Recognition, Pages:II-305 – II-312, 2003. [8] A. P. Bradley, “The use of the area under the ROC curve in the evaluation of machine learning algorithms,” Pattern Recognition, Vol. 30, No. 7, 1997. [9] C.-C. Chang and C.-J. Lin, “LIBSVM: A Library for Support Vector Machines”, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. [10] E. Reinhard, A. O. Akyuz, M. Colbert, C. E. Hughes, and M. O’Conner, “Real-time color blending of rendered and captured video,” Interservice/Industry Training, Simulation, and Education Conference, Paper No. 1502, 2004. [11] D. Cohen-Or, O. Sorkine, R. Gal, T. Leyvand, and Y.-Q. Xu, “Color Harmonization,” ACM Transactions on Graphics (SIGGRAPH 2006), Vol. 25, No. 3, Jul. 2006. [12] M. Tokumaru, N. Muranaka, and S. Imanishi., “Color design support system considering color harmony,” in Proc. IEEE International Conference on Fuzzy Systems, Pages:378–383, 2002. [13] M. J. Swain, and D. H. Ballard, “Color Indexing,” International Journal of Computer Vision, Vol. 7, No. 1, Nov. 1991. [14] T. Welsh, M. Ashikhmin, and K. Mueller, “Transferring Color to Greyscale Images,” ACM Transactions on Graphics (SIGGRAPH 2002), Vol. 21, No. 3, Jul. 2002. [15] Y. Chang and S. Saito, “Example-Based Color Stylization Based on Categorical Perception,” in Proc. 1st Symposium on Applied perception in graphics and visualization, Pages:91-98, 2004. [16] J. Hays and A. A. Efros, “Scene Completion Using Millions of Photographs,” ACM Transactions on Graphics (SIGGRAPH 2007), Vol. 26, No. 3, 2007. [17] Y. Li, J. Sun, C.-K. Tang, and H.-Y. Shum, “Lazy Snapping,” ACM Transactions on Graphics (SIGGRAPH 2004), Vol. 23, No. 3, Aug. 2004. [18] C. Rother, V. Kolmogorov, and A. Blake, “‘GrabCut’ – Interactive Foreground Extraction using Iterated Graph Cuts,” ACM Transactions on Graphics (SIGGRAPH 2004), Vol. 23, No. 3, Aug. 2004. [19] B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman, “LabelMe: a database and web-based tool for image annotation,” Technical Report AIM-2005-025, MIT AI Lab Memo, Sep. 2005. [20] R. Fattal, D. Lischinski, and M. Werman, “Gradient Domain High Dynamic Range Compression,” ACM Transactions on Graphics (SIGGRAPH 2002), Vol. 21, No. 3, Jul. 2002. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/43252 | - |
| dc.description.abstract | 在本論文中，我們呈獻的是一份關於色彩合成影像逼真性的研究。由於數位成像及通訊的高度發展，評定合成影像之逼真性已成為一個新的領域。然而，當製作合成影像時，使用者經常受其所插入的物體與背景兩者色彩不相容所苦。我們觀察到兩個特性可以使合成影像看起來逼真。第一個特性是關於影像中不同區塊之間的色彩相似性，而第二個特性則是關於影像中不同區塊之間的色偏差一致性。這兩個特性都只需要單張影像的資訊。基於以上兩特性，我們提出了一個影像逼真性評定演算法以及一個重新著色演算法。以下將說明其效果。 | zh_TW |
| dc.description.abstract | In this paper, we present a study of the realism of color image composites. Assessing the realism of image composites has emerged as a new field of image processing due to the advances in digital imaging and communications. However, when making image composites, users often suffer from color incompatibility between the inserted object and the background. We observe two properties that help make an image composite look realistic. The first property is related to the color similarity between different segments of the image, and the second one is related to the consistency of color deviation between the segments. These two properties only require information available from a single image. An algorithm based on these two properties is proposed for assessment of image realism, and another algorithm is proposed for image composition re-coloring. Effectiveness of the algorithm is demonstrated. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:45:12Z (GMT). No. of bitstreams: 1 ntu-98-R96942028-1.pdf: 2883991 bytes, checksum: c85f2c2118dba9a44e1e0ff021fb3248 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 口試委員會審定書…………………………………………………… i
誌謝…………………………………………………………………. ii 中文摘要…………………………………………………………… iii 英文摘要……………………………………………………………. iv 1. 引言……………………………………………………… 1 1.1 影像的逼真性…………………………………………… 1 1.2 挑戰……………………………………………………… 2 1.3 貢獻……………………………………………………… 3 1.4 論文組織………………………………………………… 3 2. 背景與相關研究………………………………………… 4 2.1 色彩轉換（Color Transfer）………………………… 4 2.2 色彩和諧………………………………………………… 6 2.3 梯度域融合（Gradient Fusion）……………………… 9 2.4 逼真性評定……………………………………………… 9 3. 基於單張影像資訊的合成影像色彩逼真性評定……… 11 3.1 相似性度量……………………………………………… 11 3.2 色偏差度量組…………………………………………… 13 3.2.1 色彩分布平面性………………………………………… 13 3.2.2 色彩分布中空性………………………………………… 17 4. 重新著色（Re-coloring）方法……………………… 20 4.1 基於相似性的重新著色方法…………………………… 20 4.2 基於色偏差的重新著色方法…………………………… 22 5. 實驗結果………………………………………………… 27 5.1 測試資料集……………………………………………… 27 5.2 逼真性評定……………………………………………… 27 5.2.1 相似性度量……………………………………………… 27 5.2.2 色偏差度量組…………………………………………… 28 5.2.3 整體準確度……………………………………………… 29 5.3 重新著色方法…………………………………………… 32 5.4 比較……………………………………………………… 32 6. 結論……………………………………………………… 38 參考文獻…………………………………………………………… 39 | |
| dc.language.iso | zh-TW | |
| dc.subject | 影像重新著色 | zh_TW |
| dc.subject | 影像合成 | zh_TW |
| dc.subject | 影像逼真性 | zh_TW |
| dc.subject | 色彩相容性 | zh_TW |
| dc.subject | 色偏差 | zh_TW |
| dc.subject | color compatibility | en |
| dc.subject | image re-coloring | en |
| dc.subject | color deviation | en |
| dc.subject | Image composition | en |
| dc.subject | image realism | en |
| dc.title | 基於色彩相容性之影像逼真性評定與重新著色演算法 | zh_TW |
| dc.title | Realism Assessment of Color Compatibility and Re-coloring Using a Single Image | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鍾國亮,陳永昌,蔣迪豪 | |
| dc.subject.keyword | 影像合成,影像逼真性,色彩相容性,色偏差,影像重新著色, | zh_TW |
| dc.subject.keyword | Image composition,image realism,color compatibility,color deviation,image re-coloring, | en |
| dc.relation.page | 41 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-07-09 | |
| 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 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-98-1.pdf 未授權公開取用 | 2.82 MB | Adobe PDF |
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