Statistical Model for the Quality of Panoramic Images of Mural Paintings

Authors

  • Ajith Premakumara Wickramasinghe University of the Visual & Performing Arts
  • Anusha Jayasiri University of the Visual and Performing Arts

DOI:

https://doi.org/10.31357/ait.v2i1.5388

Abstract

Panoramic image creation is crucial in area of digital imaging. It is developed by combining an overlapped image component series of a large image, which is difficult to be focused on using a normal camera due to a large field of view. Measuring the quality of panoramic images is a challenging task. Therefore, the objectives of this research are to find the attributes of visual quality of panoramic images and to propose predictor variables for a statistical model for the quality of panoramic images of mural paintings. Authors have used a proposed novel method for creating panoramic images of mural painting. In this study, authors researched on the quality attributes of digital images. Accordingly, color balance, noise and distortion were identified as the two most critical factors which affect the overall quality of the panoramic images. Authors visited three temples and captured digital images of mural paintings of large scale using a simple method. Then, panoramic images were created using three methods: the novel method with other two methods, Photoshop (available in the market) and Hugin (open source software). Subjective evaluation was applied through experts in the field of Visual Arts. Participants were asked to rate the quality using four-point Likert scale for color balance, noise and distortion as predictor variables and overall quality as the response variable of panoramic images. Ordinal logistic regression was fitted through Minitab statistical package and the results showed that color balance and noise and distortion are two important attributes for the quality of the panoramic images. Moreover, the collected data fit the model at a higher accuracy.

Full paper submission of ICIET 2021

Author Biographies

Ajith Premakumara Wickramasinghe, University of the Visual & Performing Arts

Mr. W.A.P. Wickramasinghe is a B.Sc. graduate in the University of Kelaniya, Sri Lanka. He holds Post graduate diploma in Statistics in the University of Sri Jayawadhanapura, Sri Lanka and Masters and M.Phil degrees in the School of Computing, University of Colombo, Sri Lanka. He is a Senior Lecturer in Computer Studies working in the IT Centre of the University of the Visual & Performing Arts. He is currently reading his PhD in the faculty of graduate studies in the same University in the area of Computer Vision and Computer Graphics. He has published several research articles in reputed journals and he has presented several abstracts in international and local conferences and symposiums.

Anusha Jayasiri, University of the Visual and Performing Arts

She received a Doctor of Engineering degree from the Department of Information Processing, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan in 2015. She also holds a Master of Engineering degree from the above university and a Bachelor of Science (Special) degree in Statistics and Computer Science from the Faculty of Science, University of Kelaniya, Sri Lanka. Her current research interests are in the fields of virtual reality, haptic devices, multimedia technologies, computer graphics and image processing. She is particularly interested in interdisciplinary research that combines computer science, technology with visual and performing arts to develop applications in the fields of education, entertainment and digital media.

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Published

2022-02-21

How to Cite

Wickramasinghe, A. P., & Jayasiri, A. (2022). Statistical Model for the Quality of Panoramic Images of Mural Paintings . Advances in Technology, 2(1), 7–17. https://doi.org/10.31357/ait.v2i1.5388

Issue

Volume 2, Issue 1 (2022)

Section

Science for Technology

Categories

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Copyright (c) 2022 Ajith Premakumara Wickramasinghe, Anusha Jayasiri

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