29 May 2013 Composite wavelet representations for reconstruction of missing data
Author Affiliations +
We shall introduce a novel methodology for data reconstruction and recovery, based on composite wavelet representations. These representations include shearlets and crystallographic wavelets, among others, and they allow for an increased directional sensitivity in comparison with the standard multiscale techniques. Our new approach allows us to recover missing data, due to sparsity of composite wavelet representations, especially when compared to inpainting algorithms induced by traditional wavelet representations, and also due to the flexibility of our variational approach.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wojciech Czaja, Wojciech Czaja, Julia Dobrosotskaya, Julia Dobrosotskaya, Benjamin Manning, Benjamin Manning, "Composite wavelet representations for reconstruction of missing data", Proc. SPIE 8750, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI, 875003 (29 May 2013); doi: 10.1117/12.2019219; https://doi.org/10.1117/12.2019219

Back to Top