Master's theses

Below you can find some of the Master's theses supervised by staff at Colourlab, starting with the most recent published thesis.

Amanturdieva, A. (2025) Detecting perceptually-significant image differences in photography, NTNU

Abadi, M. A. (2025) PCB analysis using vision systems, NTNU

Amnuayrotchanachinda, K. (2025) Integratied sum-to-one and denoising constraints in NMF for spectral unmixing and application to rock painting, NTNU

Arfaie Oghani, S. K. (2025) Image information metrics validation, NTNU

Balica, M. E. (2025) The use of anlogue photographic documentatoin to infer the past apperance of paintings, NTNU

Chowdhury, D. (2025) Exploring colours in optical see-through augmented reality, NTNU

Huynh, L. P. T. (2025) Spectral reconstruction and illumination estimation using MACTIS imaging, NTNU

Ivanchenko, A. (2025) Integrating deep image prior withi physical modalities for enhanced PET image reconstruction, NTNU

Jamil, S. (2025) Realistic 3D scene relighting, NTNU

Turab, M. (2025) Modelling human body movement features using laban movement analysis approach, NTNU

Nguyen Dinh, M. (2025) MESH reconstruction via differentiable rendering pipelines, NTNU

Ozyilmaz, A. E. (2025) Color correction in agriculture, NTNU

Ozyilmaz, O. Y. (2025) Adaptive edge visual system for agricultural applications: deep learning based real-time phenotyping under varying environmental conditions on mobile phones, NTNU

Pursley, Y. J. (2025) Analyzing and capturing classical guitar performance using computer vision, NTNU

Rosa, P. A. H. (2025) Prediction of change blindness, NTNU

Xu, L. (2025) Text-to-image generation for wireless capsule endoscopy: Towards controllable and clinically relevant image synthesis, NTNU

Zafar, M. H. (2025) An exploration of deep learning methods for textile reconstruction, NTNU

Berels, M (2025) Deep Feature Extraction under Irregular Masking Conditions: A Step Toward Content-Based Image Retrieval for Archaeological Puzzle Solving, NTNU

Hagen, A. L. (2025) Method for Testing People’s Color Vision, NTNU

Ibrahim, M. S. (2025) Automated Sports Video Understanding for Event Detection and Classification, NTNU

Siam, A. R. (2025) Leveraging prompt engineering to generate stronger facial image morphs, NTNU

Plavac, N. (2024) Assessment of Deep Learning Algorithms for Automatic License Plate Recognition on Distorted Images, NTNU

Amiri. M. (2024) Towards Understanding Change Blindness Based on Cognitive Attributes and Stimulus Complexity, NTNU

Dileep, K. (2024) Re-identification of fish in the wild, NTNU

Tabassum, S. (2024) From Roadside-rendering to Reality: Advancing NeRF Pipeline for Photorealistic 3D Views in Autonomous Driving, NTNU

Pinkham, N. (2024) High Dynamic Range Image Processing and Display, NTNU

Chaskopoulos, D. (2024) Morphing attack detection and generation using diffusion, NTNU.

Shrestha, B. (2024) Understanding Cognition and Competence of Human Observers in Detecting Manipulated Faces, NTNU

Gulbrandsen, C. F. (2023). Reconstructing the Original: Machine Learning Puzzle Assembly for Matching Archaeological Textile Fragments, NTNU

Nguyen, H. T. (2023) Explainable Artificial Intelligence for Image Quality Assessment, NTNU.

Czech, M. (2023). Estimation of Daylight Illumination Spectra and Relative Reflectance Recovery from Hyperspectral Radiance Cubes without Reference Targets. NTNU

Islam, A. J. (2023). Full Reference Image Quality Assessment using Siamese Neural Network. NTNU.

Hassan, A. (2023). High Dynamic Hyperspectral Imaging: An empirical investigation of tone mapping on spectral radiance for HDR scene. NTNU.

Syed, A.R. (2023). High Dynamic range imaging for dual-RGB system for cultural heritage. NTNU.

Flores-Romero, A. (2023). Improving Ocean Chlorophyll Estimation in Satellite Hyperspectral Images Using Ensemble Machine Learning. NTNU.

Alizadeh Mivehforoushi, A. (2023). A New Descriptive Subjective Video Quality Dataset. NTNU.

Sagvold, P. (2023). Spatio-Temporal Retinex-Inspired Envelope with Anisotropic Diffusion. NTNU

Jain, L. (2023) HDR-FP: A Feature-Pooled Objective Metric for High Dynamic Range Video Quality Assessment. NTNU

Issa, H. (2023). Explainable AI for RGB to HyperSpectral CNN Models. NTNU

Hisuin, J. Hyttinen (2022). Data Architecture and Design of in-vivo Neurosurgical Hyperspectral Image Database. NTNU.

Ahmed, T. U. (2022). DSTT-MARB: Multi-scale Attention Based Spatio-Temporal Transformers for Old Film Restoration. NTNU.

Rueda Montes, M.-J. (2022) Visual Display Calibration, NTNU

Gigilashvili, D. (2017) Measuring and Mitigating Speckle Noise in Dual-Axis Confocal Microscopy Images, NTNU

Pelegrina Jiménez, A. (2015) Evaluation of Image Quality of State-of-art CT Vendors in the Norwegian Market. NTNU

Arango Duque, C. A. (2015) White board content extraction and enhancement for video conferencing systems, NTNU.

Bylappa Raja, K. (2013) Robust Iris Recognition Uring Light-field Camera. NTNU

Mozejko, D. (2013) Image Texture, Uniformity, Homogenity and Radiation Dose Properties in CT. NTNU

Deborah, H. (2013). Pigment Mapping of Cultural Heritage Paintings Based on Hyperspectral Imaging. NTNU

Chen, A. (2013). Colour visualisation of hyperspectral images in art restoration. NTNU

Oncu Feier, A. I. (2012) Digital Inpainting for Artwork Restoration: Algorithms and Evaluation. NTNU

Demetriou, M.-L. (2012) Computer-Aided Reclamation of Lost Art. NTNU 

Medina, V. (2012) A survey of techniques for depth extraction in films. NTNU

Marijanovic, K. (2012) Spectral Print Reproduction: Modeling and Feasibility. NTNU

Rahadianti, Laksmita (2012) Automatic Semantic Annotation for Media Learning Objects. NTNU

Torres Ochoa, V. M. (2012) Adult video content detection using Machine Learning Techniques. NTNU

van der Hoest, A. (2012) Eye Contact in Leisure Video Conferencing, NTNU

Rahadianti, L. (2012) Automatic Semantic Annotation for Media Learning Objects, NTNU

Shrestha, R. (2010) Conceiving a Fast and Practical Multispectral-Stereo System. NTNU

Abebe, M. A. (2010) Kubelka Munk Theory for Efficient Spectral Printer Modelling. NTNU 

Rudakova, V. (2010) Probabilistic framework for multi-target tracking using multi-camera: applied to fall detection. NTNU

Islam, A.B.M.T. (2010) Spatio-Temporal Colour Correction of Strongly Degraded Films. NTNU

Amirshahi, S. A. (2010) Towards a perceptual metric for video quality assessment. NTNU