Trepo - Selaus Tutkinto-ohjelman ja opintosuunnan mukaan

Viitteet 1-4 / 4

    • Analog Computational Imaging with Meta-Optics : From image processing to structured illumination 

      Yu, Linzhi
      Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 1371 (Tampere University, 2026)
      Artikkeliväitöskirja
      Conventional optical information processing systems, particularly those used for real-time image transformation and analysis, face growing limitations in terms of size, speed, energy efficiency, and integration with ...

    • Deep Learning Models for Vascular Image Reconstruction and Analysis in Swept-Source Optical Coherence Tomography 

      Viqar, Maryam
      Tampere University Dissertations - Tampereen yliopiston väitöskirjat : 1412 (Tampere University, 2026)
      Artikkeliväitöskirja
      Optical coherence tomography (OCT) is a non-invasive imaging technique that acquires images of biological samples with micrometre resolution, thereby offering a penetration depth of a few millimetres to generate volumetric ...

    • Headset Removal for Gaze Contact in XR Applications 

      Ghorbani Lohesara, Fatemeh (Omakustanne/Self-published, 2025)
      Artikkeliväitöskirja
      The increasing integration of immersive technologies, particularly in Extended Reality (XR) applications, is transforming the way humans interact in virtual environments. However, achieving truly immersive experiences in ...

    • Parameter-Efficient Convolutional Neural Networks for Computer Vision Applications 

      Hassan, Ali
      Mid Sweden University doctoral thesis : 439 (Mid Sweden University, 2026)
      Artikkeliväitöskirja
      Recent advancements in convolutional neural networks (CNNs) have made significant improvements in computer vision tasks, such as image classification (identifying objects), fire segmentation (identifying pixels within fire ...