Adaptive curvature-guided image filtering for structure + texture image decomposition
- Submitting institution
-
Heriot-Watt University
(joint submission with University of Edinburgh)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 22910262
- Type
- D - Journal article
- DOI
-
10.1109/TIP.2018.2852741
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 5192
- Volume
- 27
- Issue
- 10
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this paper, we propose a new variational structure + texture image decomposition method, which is very important for a number of digital image processing tasks. Applications to image enhancement, clarification, and suppressing jpeg compression defects are considered. Together with several other state-of-the-art image decomposition schemes, the proposed method is used as a reference and comparison method in DOI: 10.1109/TIP.2018.2871597, DOI: 10.1109/ICASSP40776.2020.9053275
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
