Treffer: Image inpainting by global structure and texture propagation.

Title:
Image inpainting by global structure and texture propagation.
Contributors:
Huang, Ting., Chinese University of Hong Kong Graduate School. Division of Information Engineering.
Publication Year:
2008
Collection:
The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
Document Type:
Fachzeitschrift text
File Description:
print; ix, 41 p. : ill.; 30 cm.
Language:
English
Chinese
Rights:
Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Accession Number:
edsbas.38C17BCF
Database:
BASE

Weitere Informationen

Huang, Ting. ; Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. ; Includes bibliographical references (p. 37-41). ; Abstracts in English and Chinese. ; Chapter 1 --- Introduction --- p.1 ; Chapter 1.1 --- Related Area --- p.2 ; Chapter 1.2 --- Previous Work --- p.4 ; Chapter 1.3 --- Proposed Framework --- p.7 ; Chapter 1.4 --- Overview --- p.8 ; Chapter 2 --- Markov Random Fields and Optimization Schemes --- p.9 ; Chapter 2.1 --- MRF Model --- p.10 ; Chapter 2.1.1 --- MAP Understanding --- p.11 ; Chapter 2.2 --- Belief Propagation Optimization Scheme --- p.14 ; Chapter 2.2.1 --- Max-Product BP on MRFs --- p.14 ; Chapter 2.2.2 --- Sum-Product BP on MRFs --- p.15 ; Chapter 3 --- Our Formulation --- p.17 ; Chapter 3.1 --- An MRF Model --- p.18 ; Chapter 3.2 --- Coarse-to-Fine Optimization by BP --- p.21 ; Chapter 3.2.1 --- Coarse-Level Belief Propagation --- p.23 ; Chapter 3.2.2 --- Fine-Level Belief Propagation --- p.24 ; Chapter 3.2.3 --- Performance Enhancement --- p.25 ; Chapter 4 --- Experiments --- p.27 ; Chapter 4.1 --- Comparison --- p.27 ; Chapter 4.2 --- Failure Case --- p.32 ; Chapter 5 --- Conclusion --- p.35 ; Bibliography --- p.37