Articles in journals
Ahmad, W. , Ghafoor, M. , Tariq, S. A. , Hassan, A. , Sjöström, M. & Olsson, R. (2019). Computationally Efficient Light Field Image Compression Using a Multiview HEVC Framework. IEEE Access, vol. 7, pp. 143002-143014.
Hassan, A. , Ghafoor, M. , Tariq, S. , Zia, T. & Ahmad, W. (2019). High Efficiency Video Coding (HEVC)–Based Surgical Telementoring System Using Shallow Convolutional Neural Network. Journal of digital imaging,
Ghafoor, M. , Tariq, S. A. , Abu Bakr, M. , Jibran, . , Ahmad, W. & Zia, T. (2019). Perceptually Lossless Surgical Telementoring System Based on Non-Parametric Segmentation. Journal of Medical Imaging and Health Informatics, vol. 9: 3, pp. 464-473.
Ahmad, W. , Sjöström, M. & Olsson, R. (2018). Compression scheme for sparsely sampled light field data based on pseudo multi-view sequences. In OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR IMAGING APPLICATIONS V Proceedings of SPIE - The International Society for Optical Engineering. (Proceedings of SPIE)
Ahmad, W. , Palmieri, L. , Koch, R. & Sjöström, M. (2018). Matching Light Field Datasets From Plenoptic Cameras 1.0 And 2.0. In Proceedings of the 2018 3DTV Conference.
Ahmad, W. , Vagharshakyan, S. , Sjöström, M. , Gotchev, A. , Bregovic, R. & Olsson, R. (2018). Shearlet Transform Based Prediction Scheme for Light Field Compression. Paper presented at the Data Compression Conference (DCC 2018),Snowbird, Utah, US, March 27 - March 30, 2018
Ahmad, W. , Olsson, R. & Sjöström, M. (2018). Towards a generic compression solution for densely and sparsely sampled light field data. In Proceedings of 25TH IEEE International Conference On Image Processing.. pp. 654--658.
Ahmad, W. , Olsson, R. & Sjöström, M. (2017). Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression. In ICIP 2017.. pp. 4557--4561.