PD Dr.-Ing. Jürgen Seiler



Organisation


Lehrstuhl für Multimediakommunikation und Signalverarbeitung


Project member


SSI: Sustainable Smart Industry
Julian Müller; Prof. Dr. Kai-Ingo Voigt
(01/01/2017)


Publications (Download BibTeX)

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Kiesel, D., Richter, T., Seiler, J., & Kaup, A. (2018). Color Channel Reconstruction for Multi-Color Multi-View Images Using Disparity and Color Similarity-based Local Linear Regression. San Francisco, US.
Lanz, D., Seiler, J., Jaskolka, K., & Kaup, A. (2018). Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update. San Francisco, CA.
van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2018). Compressive Online Robust Principal Component Analysis via n - ℓ1 Minimization. IEEE Transactions on Image Processing, 27(9), 4314-4329. https://dx.doi.org/10.1109/TIP.2018.2831915
Seiler, J., Jonscher, M., Ussmueller, T., & Kaup, A. (2018). Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation. IEEE Transactions on Circuits and Systems For Video Technology.
Grosche, S., Seiler, J., & Kaup, A. (2018). Iterative Optimization of Quarter Sampling Masks for Non-Regular Sampling Sensors. Athens, GR.
Genser, N., Seiler, J., Schilling, F., & Kaup, A. (2018). Signal and Loss Geometry Aware Frequency Selective Extrapolation for Error Concealment. San Francisco, CA, US.
Genser, N., Grosche, S., Seiler, J., & Kaup, A. (2018). Sparse Hartley Modeling for Fast Image Extrapolation. Vancouver, CA.
van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2018). Sparse Signal Recovery with Multiple Prior Information: Algorithm and Measurement Bounds. Signal Processing. https://dx.doi.org/https://doi.org/10.1016/j.sigpro.2018.06.019
Genser, N., Seiler, J., & Kaup, A. (2018). Spectral Constrained Frequency Selective Extrapolation for Rapid Image Error Concealment. Maribor, SI.
van Luong, H., Deligiannis, N., Seiler, J., Forchhammer, S., & Kaup, A. (2017). Compressive Online Robust Principal Component Analysis with Multiple Prior Information. (pp. 1260-1264). Montreal.

Last updated on 2018-10-07 at 04:31