Adaptive polynomial rendering
- Submitting institution
-
Edinburgh Napier University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1111121
- Type
- D - Journal article
- DOI
-
10.1145/2897824.2925936
- Title of journal
- ACM transactions on graphics
- Article number
- 40
- First page
- 1
- Volume
- 35
- Issue
- 4
- ISSN
- 0730-0301
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F2897824.2925936&file=a40-moon-supp.zip&download=true
- 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
-
3
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This image enhancement technique for movie image production, was produced in collaboration with Disney. It drastically reduced noise (discolored pixels) while preserving fine details (ref. phys.org). Automatically selecting the appropriate functions for each image region to maximize the quality of the result, enabled Disney to outperform all prior denoising techniques, for both live action footage and ray trace image processing. This principled prediction method preceded deep learning approaches by 2 years. Mitchell’s team (that included an OSCAR Academy and Eurographics distinguished career awardee) were credited in the Walt Disney Studios movie, Pirates of the Caribbean 5 for this denoising method.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -