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- Publisher Website: 10.1016/j.camwa.2018.12.033
- Scopus: eid_2-s2.0-85060126306
- WOS: WOS:000465065200016
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Article: Image colorization by fusion of color transfers based on DFT and variance features
Title | Image colorization by fusion of color transfers based on DFT and variance features |
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Authors | |
Keywords | Image colorization Variational fusion model Student's t-test Non-local ADMM |
Issue Date | 2019 |
Citation | Computers and Mathematics with Applications, 2019, v. 77, n. 9, p. 2553-2567 How to Cite? |
Abstract | © 2018 Elsevier Ltd Color transfer methods usually suffer from spatial color coherency problem. In order to address this problem, this paper develops a fused color transfer method for image colorization. Our idea is to design a local student's t-test to screen the incoherent colors in the preliminary colorization results obtained by a simple color transfer method with DFT and variance features. Furthermore, we propose a variational fusion model to inpaint these incoherent colors and fuse the other useful colors together. We also present an efficient algorithm for solving the fusion model numerically, and show the convergence of the algorithm. Finally, experimental results are reported to demonstrate the effectiveness of the proposed method, and its performance is competitive with those of the other testing methods. |
Persistent Identifier | http://hdl.handle.net/10722/276628 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 0.949 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jin, Zhengmeng | - |
dc.contributor.author | Min, Lihua | - |
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Zheng, Minling | - |
dc.date.accessioned | 2019-09-18T08:34:11Z | - |
dc.date.available | 2019-09-18T08:34:11Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Computers and Mathematics with Applications, 2019, v. 77, n. 9, p. 2553-2567 | - |
dc.identifier.issn | 0898-1221 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276628 | - |
dc.description.abstract | © 2018 Elsevier Ltd Color transfer methods usually suffer from spatial color coherency problem. In order to address this problem, this paper develops a fused color transfer method for image colorization. Our idea is to design a local student's t-test to screen the incoherent colors in the preliminary colorization results obtained by a simple color transfer method with DFT and variance features. Furthermore, we propose a variational fusion model to inpaint these incoherent colors and fuse the other useful colors together. We also present an efficient algorithm for solving the fusion model numerically, and show the convergence of the algorithm. Finally, experimental results are reported to demonstrate the effectiveness of the proposed method, and its performance is competitive with those of the other testing methods. | - |
dc.language | eng | - |
dc.relation.ispartof | Computers and Mathematics with Applications | - |
dc.subject | Image colorization | - |
dc.subject | Variational fusion model | - |
dc.subject | Student's t-test | - |
dc.subject | Non-local | - |
dc.subject | ADMM | - |
dc.title | Image colorization by fusion of color transfers based on DFT and variance features | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.camwa.2018.12.033 | - |
dc.identifier.scopus | eid_2-s2.0-85060126306 | - |
dc.identifier.volume | 77 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 2553 | - |
dc.identifier.epage | 2567 | - |
dc.identifier.isi | WOS:000465065200016 | - |
dc.identifier.issnl | 0898-1221 | - |