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Non-linear aggregation of filters to improve image denoising
- Source :
- Computing Conference 2020, Computing Conference 2020, Jul 2020, London, United Kingdom, Advances in Intelligent Systems and Computing ISBN: 9783030522452, SAI (2)
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- We introduce a novel aggregation method to efficiently perform image denoising. Preliminary filters are aggregated in a non-linear fashion, using a new metric of pixel proximity based on how the pool of filters reaches a consensus. We provide a theoretical bound to support our aggregation scheme, its numerical performance is illustrated and we show that the aggregate significantly outperforms each of the preliminary filters.<br />Comment: To appear at Computing Conference 2020
- Subjects :
- Scheme (programming language)
FOS: Computer and information sciences
Computer Science - Machine Learning
Statistical aggregation
Ensemble methods
Image denoising
Collaborative filtering
Computer science
Computer Vision and Pattern Recognition (cs.CV)
Computer Science - Computer Vision and Pattern Recognition
Machine Learning (stat.ML)
02 engineering and technology
010501 environmental sciences
01 natural sciences
Machine Learning (cs.LG)
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Statistics - Machine Learning
0202 electrical engineering, electronic engineering, information engineering
FOS: Electrical engineering, electronic engineering, information engineering
0105 earth and related environmental sciences
computer.programming_language
[STAT.ME] Statistics [stat]/Methodology [stat.ME]
Pixel
Aggregate (data warehouse)
Image and Video Processing (eess.IV)
[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]
Electrical Engineering and Systems Science - Image and Video Processing
Ensemble learning
[STAT.ML] Statistics [stat]/Machine Learning [stat.ML]
Nonlinear system
[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Metric (mathematics)
020201 artificial intelligence & image processing
computer
Algorithm
[STAT.ME]Statistics [stat]/Methodology [stat.ME]
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-52245-2
- ISBNs :
- 9783030522452
- Database :
- OpenAIRE
- Journal :
- Computing Conference 2020, Computing Conference 2020, Jul 2020, London, United Kingdom, Advances in Intelligent Systems and Computing ISBN: 9783030522452, SAI (2)
- Accession number :
- edsair.doi.dedup.....fcca04c0d7bae0932d741fbbcc903405