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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/123456789/66655
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dc.contributor.advisor吳家麟
dc.contributor.authorYi-Ning Tsengen
dc.contributor.author曾翊寧zh_TW
dc.date.accessioned2021-06-17T00:49:14Z-
dc.date.available2012-01-17
dc.date.copyright2012-01-17
dc.date.issued2011
dc.date.submitted2011-12-02
dc.identifier.citation[1] Sony style - sony website: http://www.sonystyle.com.tw.
[2] Opencv library: http://sourceforge.net/projects/opencvlibrary/.
[3] Dof pro: http://www.dofpro.com/.
[4] Anat Levin, R. F., Fredo Durand, Bill Freeman 2007. Image and depth from a conventional camera with a coded aperture. ACM Transactions on Graphics. 26, 3,
[5] Carsten Rother, V. K., Andrew Blake 2004. 'Grabcut': Interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics. 23, 3,
[6] Chih-Yu Yan, M.-C. T., Ja-Ling Wu 2009. Interactive background blurring. In Proc. of ACM international conference on Multimedia,
[7] Michael Potmesil, I. C. 1981. A lens and aperture camera model for synthetic image generation. In Proc. of SIGGRAPH '81
[8] Sungkil Lee; Jounghyun Kim, G. S. C. 2009. Real-time depth-of-field rendering using anisotropically filtered mipmap interpolation. IEEE Transactions on Visualization and Computer Graphics. 15, 3,
[9] Youichi Horry, K.-I. A., Kiyoshi Arai 1997. Tour into the picture: Using a spidery mesh interface to make animation from a single image. In Proc. of SIGGRAPH '97,
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/66655-
dc.description.abstract淺景深是一種利用淡化背景雜訊來強化主題的拍攝手法,較常使用在人像或是近物攝影,此種特效照片的視覺效果優異,因此較受人們所喜愛。不過一般低價位消費型數位相機由於硬體構造的限制,無法產生類似高價位單眼相機拍攝的淺景深的照片。近年來已有內建式相機軟體(如Sony Cyber-shot WX5 and TX9)或是後製影像處理工具(Photoshop)利用軟體模擬照片中的光學性質。但由於以上方式無法藉由單張照片得到深度資訊,使得模擬淺景深的效果失真度較高,基於以上動機,我們開發出一套使用者互動式介面可方便而準確的取得深度資訊,再利用即時重新聚焦演算法並在模擬淺景深時加入散景的效果,進而建構出一套不僅快速且效果逼真的數位照片淺景深模擬系統。zh_TW
dc.description.abstractShallow focus is a kind of photographic technique, which means taking a picture with a small depth of field (DOF) so that the objects outside of the DOF will be blurred to highlight the subject inside of the DOF. Common digital cameras, unlike the Digital Single Lens Reflex Camera (DSLR), cannot produce this special vision effect due to its limitations in aperture and focal length. Commercial softwares and even some common digital cameras are endued with built-in shallow focus simulation programs. However, the rendering quality of the existing tools is not very well due to several problems: 1) boundaries of the focused objects are often over smoothed caused by poor auto-generated object segmentation result, 2) the blurring effect usually looks fake since the element of image formation principle, i.e. the depth of the object, is not properly utilized in the rendering process, and 3) even though some refocusing methods model the blurring effect with depth information, it is hard to extract accurate depth map from a single image. Therefore, we develop a friendly user interface which can interactively achieve reliable depth labeling based on the techniques of semi-automatic object segmentation and 3D modeling. Moreover, to realize shallow focus effect efficiently, we apply a real-time gather-based DOF rendering method and modify it to be capable of simulating the bokeh effect.en
dc.description.provenanceMade available in DSpace on 2021-06-17T00:49:14Z (GMT). No. of bitstreams: 1
ntu-100-R98944028-1.pdf: 2875614 bytes, checksum: f807413e18675d372a23a1477deebf38 (MD5)
Previous issue date: 2011
en
dc.description.tableofcontents摘要 VI
ABSTRACT VII
CHAPTER 1 INTRODUCTION 1
1.1 MOTIVATION 1
1.2 RELATED WORK 2
1.3 CONTRIBUTIONS 3
CHAPTER 2 PROBLEM FORMULATION 6
CHAPTER 3 INTERACTIVE DEPTH LABELING 10
CHAPTER 4 DEPTH OF FIELD RENDERING WITH BOKEH EFFECTS BASED ON THE SCATTER METHOD 16
4.1 SCATTER DEFOCUSING CONCEPTS 16
4.2 BOKEH EFFECTS SIMULATION 18
4.3 INTENSITY PRESERVING 19
CHAPTER 5 DEPTH OF FIELD RENDERING WITH BOKEH EFFECTS BASED ON THE GATHER METHOD 21
5.1 GATHER DEFOCUSING CONCEPTS 21
5.2 BOKEH EFFECT SIMULATION 22
5.2.1 Intensity-preserved image construction 23
5.2.2 Bokeh probability calculation 24
5.2.3 DOF rendering with bokeh effect 26
CHAPTER 6 INTERACTIVE USER INTERFACE 28
6.1 USER INTERFACE LAYOUT 28
6.2 FUNCTIONALITY AND USAGE 28
6.2.1 Depth Label 28
6.2.2 Shallow Focus 29
CHAPTER 7 EXPERIMENT RESULTS 30
7.1 RENDERING QUALITY 30
7.1.1 DOF rendering with “Bokeh” effect proposed in our system comparing with other DOF rendering method. 30
7.1.2 Intensity preserving based on the scatter method 34
7.1.3 The influence of weight function parameters of the scatter method 37
7.2 RENDERING PERFORMANCE 38
CHAPTER 8 CONCLUSION AND FUTURE WORK 40
REFERENCE 41
dc.language.isoen
dc.subject散景zh_TW
dc.subject景深zh_TW
dc.subject即時zh_TW
dc.subject互動式使用者介面zh_TW
dc.subject深度資訊zh_TW
dc.subjectDepth of fielden
dc.subjectbokeh effecten
dc.subjectshallow focusen
dc.subjectreal-timeen
dc.subjectImage defocusingen
dc.title一套利用深度標註即時生成具散景景深效果的互動式軟體zh_TW
dc.titleRealtime Depth of Field Rendering with Bokeh Effect via Interactive Depth Labelingen
dc.typeThesis
dc.date.schoolyear100-1
dc.description.degree碩士
dc.contributor.oralexamcommittee朱威達,鄭文皇,黃俊翔
dc.subject.keyword散景,景深,即時,互動式使用者介面,深度資訊,zh_TW
dc.subject.keywordDepth of field, bokeh effect,shallow focus,real-time,Image defocusing,en
dc.relation.page34
dc.rights.note有償授權
dc.date.accepted2011-12-05
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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