Waqas Ahmad

Forskare|Researcher

  • Tjänstetitel: Forskare
  • Akademisk titel: Teknologie Doktor
  • Avdelning: Institutionen för informationssystem och -teknologi (IST)
  • Telefon arbete: +46 (0)10-1428722
  • E-postadress: waqas.ahmad@miun.se
  • Besöksadress: L-huset, Holmgatan 10, 851 10 Sundsvall
  • Rumsnummer: L330
  • Ort: Sundsvall
  • Forskningscentra: Sensible Things that Communicate
  • Anställd vid ämnet: Datateknik, Datavetenskap

Forskningsområden

Light Field Compression

Forskningsprojekt

Pågående

Ljusfält som möjliggör multi-view-övervakning och fotografisk VR

Avslutade

ETN-FPI - European Training Network on Full Parallax Imaging

Publikationer

Artiklar i tidskrifter

Ahmad, W. , Vagharshakyan, S. , Sjöström, M. , Gotchev, A. , Bregovic, R. & Olsson, R. (2020). Shearlet Transform-Based Light Field Compression under Low Bitrates. IEEE Transactions on Image Processing, vol. 29, ss. 4269-4280.    

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, ss. 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, vol. 32: 6, ss. 1027-1043.    

Ghafoor, M. , Tariq, S. A. , Abu Bakr, M. , Jibran, J. , 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, ss. 464-473.  

Doktorsavhandlingar, sammanläggningar

Ahmad, W. (2021). High Efficiency Light Field Image Compression : Hierarchical Bit Allocation and Shearlet-based View Interpolation. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2021 (Mid Sweden University doctoral thesis : 341)  

Konferensbidrag

Ahmad, W. , Sjöström, M. & Olsson, R. (2018). Compression scheme for sparsely sampled light field data based on pseudo multi-view sequences. I 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. I 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. , Vagharshakyan, S. , Sjöström, M. , Gotchev, A. , Bregovic, R. & Olsson, R. (2018). Shearlet Transform Based Prediction Scheme for Light Field Compression. I 2018 DATA COMPRESSION CONFERENCE (DCC 2018). (IEEE Data Compression Conference). S. 396--396.  

Ahmad, W. , Olsson, R. & Sjöström, M. (2018). Towards a generic compression solution for densely and sparsely sampled light field data. I Proceedings of 25TH IEEE International Conference On Image Processing.. S. 654--658.    

Ahmad, W. , Olsson, R. & Sjöström, M. (2017). Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression. I ICIP 2017.. S. 4557--4561.      

Dataset

Ahmad, W. (2019). Computationally Efficient Light Field Image Compression using a Multiview HEVC Framework.    

Ahmad, W. , Palmieri, L. , Koch, R. & Sjöström, M. (2018). The Plenoptic Dataset.  

Ahmad, W. , Olsson, R. & Sjöström, M. (2017). Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression.