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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊網路與多媒體研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58770
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳炳宇
dc.contributor.authorHsiao-Ching Youen
dc.contributor.author尤筱青zh_TW
dc.date.accessioned2021-06-16T08:30:05Z-
dc.date.available2017-03-09
dc.date.copyright2014-03-09
dc.date.issued2013
dc.date.submitted2013-12-31
dc.identifier.citation[1] A. Agarwala, M. Dontcheva, M. Agrawala, S. Drucker, A. Colburn, B. Curless, D. Salesin,
and M. Cohen. Interactive digital photomontage. ACM Trans. Graph., 23(3):294–302,
2004.
[2] X. An and F. Pellacini. Appprop: all-pairs appearance-space edit propagation. ACM Trans.
Graph., 27(3):40:1–40:9, 2008.
[3] A. Bousseau, S. Paris, and F. Durand. User-assisted intrinsic images. ACM Trans. Graph.,
28(5):130:1–130:10, 2009.
[4] I. Boyadzhiev, K. Bala, S. Paris, and F. Durand. User-guided white balance for mixed
lighting conditions. ACM Trans. Graph., 31(6):200:1–200:10, 2012.
[5] Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts.
EEE Trans. Pattern Anal. Mach. Intell., 23(11):1222–1239, 2001.
[6] X. Chen, D. Zou, Q. Zhao, and P. Tan. Manifold preserving edit propagation. ACM Trans.
Graph., 31(6):132:1–132:7, 2012.
[7] Y.-Y. Chuang, B. Curless, D. H. Salesin, and R. Szeliski. A bayesian approach to digital
matting. In Proceedings of IEEE CVPR 2001, volume 2, pages 264–271, 2001.
[8] Z. Farbman, R. Fattal, and D. Lischinski. Diffusion maps for edge-aware image editing.
ACM Trans. Graph., 29(6):145:1–145:10, 2010.
[9] Z. Farbman, G. Hoffer, Y. Lipman, D. Cohen-Or, and D. Lischinski. Coordinates for instant
image cloning. ACM Trans. Graph., 28(3):67:1–67:9, 2009.
[10] J. Jia, J. Sun, C.-K. Tang, and H.-Y. Shum. Drag-and-drop pasting. ACM Trans. Graph.,
25(3):631–637, 2006.
[11] V. Kwatra, A. Sch‥odl, I. Essa, G. Turk, and A. Bobick. Graphcut textures: image and video
synthesis using graph cuts. ACM Trans. Graph., 22(3):277–286, 2003.
[12] A. Levin, D. Lischinski, and Y.Weiss. Colorization using optimization. ACM Trans. Graph.,
23(3):689–694, 2004.
[13] A. Levin, D. Lischinski, and Y. Weiss. A closed-form solution to natural image matting.
IEEE Trans. Pattern Anal. Mach. Intell., 30(2):228–242, 2008.
[14] Y. Li, J. Sun, C.-K. Tang, and H.-Y. Shum. Lazy snapping. ACM Trans. Graph., 23(3):303–
308, 2004.
[15] D. Lischinski, Z. Farbman, M. Uyttendaele, and R. Szeliski. Interactive local adjustment of
tonal values. ACM Trans. Graph., 25(3):646–653, 2006.
[16] F. Pellacini and J. Lawrence. Appwand: editing measured materials using appearance-driven
optimization. ACM Trans. Graph., 26(3), 2007.
[17] P. P’erez, M. Gangnet, and A. Blake. Poisson image editing. ACM Trans. Graph., 22(3):313–
318, 2003.
[18] Y. Qu, T.-T. Wong, and P.-A. Heng. Manga colorization. ACM Trans. Graph., 25(3):1214–
1220, 2006.
[19] R. Raskar, A. Ilie, and J. Yu. Image fusion for context enhancement and video surrealism.
In Proc. NPAR ’04, pages 85–94, 2004.
[20] C. Rother, V. Kolmogorov, and A. Blake. ”grabcut”: interactive foreground extraction using
iterated graph cuts. ACM Trans. Graph., 23(3):309–314, 2004.
[21] Y. Saad. Iterative Methods for Sparse Linear Systems. 2003.
[22] J. Sun, J. Jia, C.-K. Tang, and H.-Y. Shum. Poisson matting. ACM Trans. Graph., 23(3):315–
321, 2004.
[23] J.Wang and M. F. Cohen. An iterative optimization approach for unified image segmentation
and matting. In Proc. IEEE ICCV ’05, pages 936–943, 2005.
[24] J. Wang and M. F. Cohen. Simultaneous matting and compositing. In Proc. IEEE CVPR
’07, pages 1–8, 2007.
[25] K. Xu, Y. Li, T. Ju, S.-M. Hu, and T.-Q. Liu. Efficient affinity-based edit propagation using
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/58770-
dc.description.abstract對影像編輯的領域來說,從多張不一樣的影像擷取部分資訊合成
單一影像,一直是一項很重要的應用。通常合成影像會包含很多區域
,而對於這些區域都會有不一樣的合成要求。在現有的方法下,要達
成這樣的目標,通常需要對每塊區域做不同的處理,而這整個過程對
使用者來說是相當不便且繁瑣的。為了解決這樣的問題,本篇研究提
出使用者輔助之影像融合技術,目標是對多張影像的資訊做選擇性地
合成。透過本篇研究提出的方法,使用者可以很容易地圈選出一塊想
要的區域,並概略的塗畫一些線條。此外,使用者也可以透過對不同
的區域指定混合的權重,來處理不同環境下的合成。藉由在不同的區
域平滑地擴散使用者指定的要求,被選定的區域可以平滑的混和在一
起。透過與現存的方法比較大量具有挑戰性的例子,可以明確地看出
本篇提出的方法所達成的效果。
zh_TW
dc.description.abstractComposing parts of the contents from different images into a single image
is an essential image editing application. It usually contains a lot of regions
to be composited, and each region may has different compositing goals. Existing
compositing methods usually require a lot of compositing operations,
which is tedious for users. This paper presents a user-assisted image fusion
method for selectively composing the contents of several input images. With
the proposed method, a user can easily select the desired regions for compositing
by specifying a number of sparse strokes. Additionally, the user is
allowed to adjust the blending weights for different regions to handle different
compositing environments. By smoothly propagating these specifications
among different regions, the selected regions can be smoothly blended. The
effectiveness of the proposed method is shown by demonstrating a wide range
of challenging cases using our method and comparing with existing methods.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T08:30:05Z (GMT). No. of bitstreams: 1
ntu-102-R00944034-1.pdf: 54340757 bytes, checksum: b596434e477a0dc778bd33f8466fc8fc (MD5)
Previous issue date: 2013
en
dc.description.tableofcontentsAbstract iv
List of Figures viii
Chapter 1 Introduction 1
1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Contribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.3 Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
Chapter 2 Related Work 6
2.1 Image Compositing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 Stroke-based Edit Propagation . . . . . . . . . . . . . . . . . . . . . . . . . 9
Chapter 3 User-assisted Image Fusion 12
3.1 Problem formulation for gradient-domain image fusion . . . . . . . . . . . 16
3.2 Influence function propagation . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.3 Optimizing image fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
3.4 Approximation for rapid preview . . . . . . . . . . . . . . . . . . . . . . . . 27
Chapter 4 Results 28
4.1 Results and Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.2 Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
4.3 Limitation and Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
Chapter 5 Conclusion 49
Bibliography 51
dc.language.isozh-TW
dc.subject互動式影像編輯zh_TW
dc.subject影像梯度域zh_TW
dc.subject影像合成zh_TW
dc.subject無縫物件仿製zh_TW
dc.subject選擇編輯zh_TW
dc.subjectInteractive image editingen
dc.subjectselection editingen
dc.subjectseamless cloningen
dc.subjectimage gradienten
dc.subjectimage compositingen
dc.title使用者輔助之梯域影像融合技術zh_TW
dc.titleImageMixer: User-assisted Gradient-domain Image Fusionen
dc.typeThesis
dc.date.schoolyear102-1
dc.description.degree碩士
dc.contributor.oralexamcommittee李同益,莊榮宏,王昱舜
dc.subject.keyword互動式影像編輯,影像梯度域,影像合成,無縫物件仿製,選擇編輯,zh_TW
dc.subject.keywordInteractive image editing,image gradient,image compositing,seamless cloning,selection editing,en
dc.relation.page53
dc.rights.note有償授權
dc.date.accepted2013-12-31
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊網路與多媒體研究所zh_TW
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