Click here for this list in essential format.

Journal Publications

2020

T. Birnbaum, D. Blinder, R. Kizhakkumkara, C. Schretter, A. Symeonidou and P. Schelkens, “Object-based digital hologram segmentation and motion compensation,” Optics Express, vol. 28, no. 8, pp. 11861-11882, Apr. 2020.

2019

D. Blinder, A. Ahar, S. Bettens, T. Birnbaum, A. Symeonidou, H. Ottevaere, C. Schretter and P. Schelkens, “Signal processing challenges for digital holographic video display systems,” Signal Processing: Image Communication, vol. 70, pp. 114-130, Feb. 2019.

T. Birnbaum, A. Ahar, D. Blinder, C. Schretter, T. Kozacki and P. Schelkens, “Wave atoms for digital hologram compression,” Applied Optics, vol. 58, no. 22, pp. 6193-6203, Aug. 2019.

R. Kizhakkumkara, D. Blinder, A. Symeonidou, T. Birnbaum, O. Watanabe, C. Schretter and P. Schelkens, “Exact global motion compensation for holographic video compression,” Applied Optics, vol. 58, no. 34, pp. G204-G217, Nov. 2019.

M. Zhang, I. Markovsky, C. Schretter and J. D'Hooge, “Compressed Ultrasound Signal Reconstruction using a Low-rank and Joint-sparse Representation Model,” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 66, no. 7, pp. 1232-1245, Jul. 2019.

2018

D. Blinder, C. Schretter and P. Schelkens, “Global motion compensation for compressing holographic videos,” Optics Express, vol. 26, no. 20, pp. 25524-25533, Oct. 2018.

D. Blinder, C. Schretter, H. Ottevaere, A. Munteanu and P. Schelkens, “Unitary Transforms Using Time-Frequency Warping for Digital Holograms of Deep Scenes,” IEEE Transactions on Computational Imaging, vol. 4, no. 2, pp. 206-218, Jun. 2018.

C. Schretter, S. Bundervoet, D. Blinder, A. Dooms, J. D'Hooge and P. Schelkens, “Ultrasound Imaging From Sparse RF Samples Using System Point Spread Functions,” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 65, no. 3, pp. 316-326, Mar. 2018.

2017

C. Schretter, D. Blinder, S. Bettens, H. Ottevaere and P. Schelkens, “Regularized non-convex image reconstruction in digital holographic microscopy,” Optics Express, vol. 25, no. 14, pp. 16491-16508, Jul. 2017.

S. Bettens, C. Schretter, N. Deligiannis and P. Schelkens, “Bounds and Conditions for Compressive Digital Holography Using Wavelet Sparsifying Bases,” IEEE Transactions on Computational Imaging, vol. 3, no. 4, pp. 592-604, Oct. 2017.

S. Bettens, H. Yan, D. Blinder, H. Ottevaere, C. Schretter and P. Schelkens, “Studies on the sparsifying operator in compressive digital holography,” Optics Express, vol. 25, no. 16, pp. 18656-18676, Aug. 2017.

2013

C. Schretter and H. Niederreiter, “A Direct Inversion Method for Non-Uniform Quasi-Random Point Sequences,” Monte Carlo Methods and Applications, vol. 19, no. 1, pp. 1-9, Mar. 2013.

Conference Publications

2019

T. Birnbaum, A. Ahar, C. Schretter, D. Blinder, T. Kozacki and P. Schelkens, “Wave Atoms for Lossy Compression of Digital Holograms,” in Data Compression Conference (DCC 2019), IEEE, May. 2019, pp. 10.

T. Birnbaum, A. Ahar, S. Montrésor, P. Picart, C. Schretter and P. Schelkens, “Speckle Denoising of Computer-Generated Macroscopic Holograms,” in Digital Holography and Three-Dimensional Imaging 2019, Optical Society of America, May. 2019, pp. 2.

R. Kizhakkumkara, A. Symeonidou, D. Blinder, T. Birnbaum, C. Schretter and P. Schelkens, “Exact Compensation of Rotational Motion for Holographic Video Compression,” in Digital Holography and Three-Dimensional Imaging 2019, Optical Society of America, May. 2019, pp. 2.

2018

P. Schelkens, D. Blinder, T. Birnbaum, A. Symeonidou, A. Ahar and C. Schretter, “Source coding of holographic data: challenges, algorithms and standardization efforts,” in Speckle 2018: VII International Conference on Speckle Metrology, SPIE, Sep. 2018, pp. 5.

C. Schretter, J. Sun and P. Schelkens, “From Adaptive Kernel Density Estimation to Sparse Mixture Models,” in iTWISTཎ, international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, CIRM, Marseille, France, 21-23 November, 2018, Nov. 2018, pp. 2.

C. Schretter, J. Sun and P. Schelkens, “Image Reconstruction with Smoothed Mixtures of Regressions,” in 2018 IEEE International Conference on Image Processing (ICIP), Athens, Aug. 2018, pp. 5.

T. Birnbaum, D. Blinder, C. Schretter and P. Schelkens, “Compressing Macroscopic Near-field Digital Holograms With Wave Atoms,” in OSA Digital Holography and Three-Dimensional Imaging, Orlando, Florida: Optical Society of America, Jun. 2018, pp. 2.

M. Zhang, I. Markovsky, C. Schretter and J. D'Hooge, “A Low-Rank and Joint-Sparse Model for Ultrasound Signal Reconstruction,” in Proceedings of iTWISTཎ, Marseille, France, Nov. 2018, pp. 3.

M. Zhang, I. Markovsky, C. Schretter and J. D'Hooge, “Ultrasound Signal Reconstruction from Sparse Samples Using a Low-Rank and Joint-Sparse Model,” in 2018 IEEE International Ultrasonics Symposium, IEEE, Oct. 2018, pp. 4.

M. Zhang, I. Markovsky, C. Schretter and J. D'Hooge, “Ultrasound Signal Reconstruction from Sparse Samples Using a Low-Rank and Joint-Sparse Model,” in 2018 IEEE International Ultrasonics Symposium, IEEE, Oct. 2018.

2017

P. Schelkens, A. Ahar, S. Bettens, V. Bilous, T. Birnbaum, D. Blinder, H. Ottevaere, A. Munteanu, C. Schretter and A. Symeonidou, “A Roadmap Towards Holographic Television From a Signal Processing Perspective,” in OSA Digital Holography and Three-Dimensional Imaging, OSA, Jan. 2017, pp. 3.

2016

C. Schretter, S. Bettens, D. Blinder, B. Pesquet-Popescu, M. Cagnazzo, F. Dufaux and P. Schelkens, “Compressed digital holography: from micro towards macro,” in SPIE Optical Engineering + Applications 2016, San Diego, CA: SPIE, Sep. 2016, pp. 16.

C. Schretter, Z. He, M. Gerber, N. Chopin and H. Niederreiter, “Van der Corput and Golden Ratio Sequences Along the Hilbert Space-Filling Curve,” in Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Springer Verlag, 2016.

A. Symeonidou, D. Blinder, A. Ahar, C. Schretter, A. Munteanu and P. Schelkens, “Speckle noise reduction for computer generated holograms of objects with diffuse surfaces,” in SPIE Photonics Europe 2016, SPIE, Apr. 2016, pp. 10.

2015

D. Blinder, A. Ahar, A. Symeonidou, Y. Xing, T. Bruylants, C. Schretter, B. Pesquet-Popescu, F. Dufaux, A. Munteanu and P. Schelkens, “Open Access Database for Experimental Validations of Holographic Compression Engines,” in 7th International Workshop on Quality of Multimedia Experience (QoMEX 2015), IEEE, 2015, pp. 6.

C. Schretter, D. Blinder, T. Bruylants, P. Schelkens and A. Munteanu, “Efficient scalable compression of sparsely sampled images,” in IEEE International Conference on Image Processing (ICIP 2015), IEEE, Aug. 2015, pp. 5.

C. Schretter, J. Sun, S. Bundervoet, A. Dooms, P. Schelkens, C. de Brita Carvalho, P. Slagmolen and J. D'hooghe, “Continuous Ultrasound Speckle Tracking with Gaussian Mixtures,” in The 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), IEEE, Aug. 2015, pp. 5.

A. Ahar, D. Blinder, T. Bruylants, C. Schretter, A. Munteanu and P. Schelkens, “Subjective quality assessment of numerically reconstructed compressed holograms,” in SPIE Optics & Photonics 2015, Applications of Digital Image Processing, SPIE, Aug. 2015, pp. 15.

S. Bettens, Y. Hao, S. Bundervoet, C. Schretter, A. Dooms and P. Schelkens, “Reconstruction Resilience to Subsampling in Compressive Fresnel Holography,” in Digital Holography & 3-D Imaging, Optical Society of America, May. 2015, pp. 3.

2014

C. Schretter, I. Loris, A. Dooms and P. Schelkens, “Total Variation Reconstruction From Quasi-Random Samples,” in iTWISTཊ international Traveling Workshop on Interactions between Sparse models and Technology, 2014.

S. Bundervoet, C. Schretter, A. Dooms and P. Schelkens, “Bayesian Estimation of Sparse Smooth Speckle Shape Models for Motion Tracking in Medical Ultrasound,” in iTWISTཊ international Traveling Workshop on Interactions between Sparse models and Technology, 2014, pp. 3.

Other Publications

2016

C. Schretter, S. Bundervoet, A. Dooms and P. Schelkens, “Ultrasound Imaging System and Method for Representing RF Signals Therein,”, Apr. 2016.

2015

C. Schretter, “Quasi-random point sequences for compressed sensing: Special session: Low-discrepancy point sets, Invited Talk (G. Larcher & H. Niederreiter),”, Jul. 2015.