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Browsing Articles authored by UoM staff (Publish in scimago's Q1 journals) by Author "Edussooriya, CUS"

Browsing Articles authored by UoM staff (Publish in scimago's Q1 journals) by Author "Edussooriya, CUS"

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  • Wijesekara, RT; Edussooriya, CUS; Bruton, LT; Agathoklis, P [Article-Full-text]
    A 3-D FIR frustum filter having sparse coefficients is proposed for enhancing broadband plane waves received by uniform aperture arrays. Motivated by the design technique of 1-D interpolated FIR filters, the proposed ...
  • Arguello, H; Bacca, J; Kariyawasam, H; Vargas, E; Marquez, M; Hettiarachchi, R; Garcia, H; Herath, K; Haputhanthri, U; Ahluwalia, BS; So, P; Wadduwage, DN; Edussooriya, CUS [Article-Full-text]
    Computational optical imaging (COI) systems leverage optical coding elements (CEs) in their setups to encode a highdimensional scene in a single or in multiple snapshots and decode it by using computational algorithms. ...
  • Mahendren, S; Edussooriya, CUS; Rodrigo, R [Article-Full-text]
    Image generation from a single image using generative adversarial networks is quite interesting due to the realism of generated images. However, recent approaches need improvement for such realistic and diverse image ...
  • Jayaweera, SS; Edussooriya, CUS; Wijenayake, C; Agathoklis, P; Bruton, LT [Article-Full-text]
    Geometric information of scenes available with fourdimensional (4-D) light fields (LFs) paves the way for postcapture refocusing. Light field refocusing methods proposed so far have been limited to a single planar or a ...
  • Denipitiyage, D; Jayasundara, V; Rodrigo, R; Edussooriya, CUS [Article-Full-text]
    Raw point cloud processing using capsule networks is widely adopted in classification, reconstruction, and segmentation due to its ability to preserve spatial agreement of the input data. However, most of the existing ...
  • Premaratne, SU; Liyanage, N; Edussooriya, CUS; Wijenayake, C [Article-Full-text]
    Four-dimensional (4-D) light fields (LFs) enable novel imaging technologies, which are traditionally based on two-dimensional images. In most of these applications, denoising of LFs is required as a preprocessing technique ...
  • Edussooriya, CUS; Wijenayake, C; Madanayake, A; Liyanage, N; Premaratne, S; Vorhies, JT; Dansereau, DG; Agathoklis, P; Bruton, LT [Article-Full-text]
    Light fields (LFs) and light field videos (LFVs) capture both angular and spatial variation of light rays emanating from scenes. This richness of information leads to novel applications such as post-capture refocusing, ...