Spline and spline wavelet methods for noise reduction and restoration of hyperspectral images (SWAMHI)
Main funder
Funder's project number: 311514
Funds granted by main funder (€)
- 10 000,00
Funding program
Project timetable
Project start date: 01/01/2018
Project end date: 31/12/2019
Summary
With certain hyperspectral sensor types we have noise and incomplete data in each measurement. Our aim is to tackle these problems with patching data in all three dimensions (two spatial and one spectral) and utilizing L1-norm minimization, splines, spline-based wavelets, wavelet packets, multiwavelets and frames.
Principal Investigator
Primary responsible unit
Follow-up groups
Profiling area: Cyber security (University of Jyväskylä JYU)
Related publications and other outputs
- Analytic and directional wavelet packets in the space of periodic signals (2023) Averbuch, Amir; et al.; A1; OA
- Directional wavelet packets originating from polynomial splines (2023) Averbuch, Amir; et al.; A1; OA
- Image inpainting using directional wavelet packets originating from polynomial splines (2021) Averbuch, Amir; et al.; A1; OA
- Analytic and directional wavelet packets (2019) Averbuch, Amir Z.; et al.; A4; 978-1-7281-3741-4
