Search Results for author: Søren Forchhammer

Found 6 papers, 0 papers with code

Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels

no code implementations27 Jan 2022 Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer, Lars Gruner-Nielsen

The optical fiber multiple-input multiple-output (MIMO) channel with intensity modulation and direct detection (IM/DD) per spatial path is treated.

Deep Decoding of $\ell_\infty$-coded Light Field Images

no code implementations24 Jan 2022 Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu, Søren Forchhammer

To enrich the functionalities of traditional cameras, light field cameras record both the intensity and direction of light rays, so that images can be rendered with user-defined camera parameters via computations.

Decoder Image Compression

Light-field view synthesis using convolutional block attention module

no code implementations3 Dec 2020 M. Shahzeb Khan Gul, Umair Mukati, Michel Bätz, Søren Forchhammer, Joachim Keinert

In the proposed method, we divide the process into three stages, stereo-feature extraction, disparity estimation, and final image refinement.

Disparity Estimation

Online Decomposition of Compressive Streaming Data Using $n$-$\ell_1$ Cluster-Weighted Minimization

no code implementations8 Feb 2018 Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

The proposed decomposition solves an $n$-$\ell_1$ cluster-weighted minimization to decompose a sequence of frames (or vectors), into sparse and low-rank components, from compressive measurements.

Clustering

Distributed Coding of Multiview Sparse Sources with Joint Recovery

no code implementations18 Jul 2016 Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

In support of applications involving multiview sources in distributed object recognition using lightweight cameras, we propose a new method for the distributed coding of sparse sources as visual descriptor histograms extracted from multiview images.

Object Recognition

Sparse Signal Reconstruction with Multiple Side Information using Adaptive Weights for Multiview Sources

no code implementations22 May 2016 Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer

This two-level optimization leads the proposed reconstruction algorithm with multiple SI using adaptive weights (RAMSIA) to robustly exploit the multiple SIs with different qualities.

Compressive Sensing

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