Country of Origin: Kazakhstan
Host Institution: NTNU
BSc: major in Information Systems, working experience in both industry and academia, and MSc in Colour Science
Aspirations within projects
Nowadays, it is becoming vital to model HVS workflow in many industries. Also, one of her research interests is human perception and with the help of this project she is motivated to do deeper research on HVS and its role in material reproduction. To create relevant IQM with HVS model and guidelines for subjective and objective quality assessment are the main outcomes of this project. Thus, she would like to contribute into the research field.
ESR2: Quality assessment for material appearance
- Marius Pedersen (NTNU)
Develop more meaningful and useful image quality metrics that better estimate how good material appearance (2.5D printed images) serve as visual representations of the objects they depict.
- Establish guidelines for subjective and objective evaluation of material reproduction.
- Modelling the human visual system for material reproduction.
- Estimating perceptual image quality by using objective image quality metrics based on the human visual system for material reproduction.
Kadyrova A, Pedersen M, Westland S, Weijkamp C. (2022) Effect of various ink types on naturalness perception of 2.5 D prints. Journal of Print and Media Technology Research. 2022;11(4):283-90.
Kadyrova A., Pedersen M., Westland S.(2022) Effect of Elevation and Surface Roughness on Naturalness Perception of 2.5D Decor Prints. Materials, 15 (9), art. no. 3372. DOI: 10.3390/ma15093372
Kadyrova, A., M. Pedersen, S. Westland (2022) What elevation makes 2.5D prints perceptually natural? Materials 15, no. 10: 3573. Doi: 10.3390/ma15103573
Kadyrova, A., M. Pedersen, B. Ahmad, D. J. Mandal, M. Nguyen, P. H. Zimmermann, (2022) Image enhancement dataset for evaluation of image quality metrics. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance, pp 317-1 - 317-6.
Kadyrova, A., V. Kitanovski, M. Pedersen (2021): Quality assessment of 2.5D prints using 2D image quality metrics. Applied Sciences, vol. 11, no. 16, p. 7470, 2021.
Kadyrova, A., V. Kitanovski, and M. Pedersen (2020) A study on attributes for 2.5D print quality assessment. Society for Imaging Science and Technology. Color and Imaging Conference 2020