http://repository.lib.vpa.ac.lk/handle/123456789/78 2026-05-25T00:40:21Z http://repository.lib.vpa.ac.lk/handle/123456789/2523 Enhancing and Characterizing Paintings: A Computational Aesthetic Approach Wickramasinghe, WAP; Dharmarathna, AT; Kodikar, ND 2018-01-01T00:00:00Z http://repository.lib.vpa.ac.lk/handle/123456789/2522 Exploring New Aesthetic Dimensions through Artificial Intelligence in the Changing Scenario Wickramasinghe, A By challenging traditional notions of authorship, originality, and innovation, the integration of artificial intelligence (AI) into the visual and performing arts has revolutionized artistic production. This paper's goal is to determine how various AI models contribute to new aesthetic dimensions in art. The literature in the subject area was carefully examined to gain a comprehensive grasp of how AI has been incorporated into the development of artistic achievements in the field. A qualitative research approach, drawing on content analysis and theoretical frameworks was used to analyze existing literature, identify prominent AI models, and evaluate their impact on creative expression. Originality, creativity, and emotional depth are still the main points of contention in the debate about AI's role in the arts. In order to evaluate technical complexity, emotional impact, originality, ingenuity, and aesthetic appeal, this study examines the relevant literature. The review reveals that while AI demonstrates strong technical proficiency and can generate visually compelling and stylistically diverse artworks, it remains limited in emotional intuition, cultural depth, and lived human experience. Although AI can simulate artistic styles and recombine patterns in novel ways, it lacks the intentionality and subjective motivations that shape human creativity. Further it lacks the feelings, life experiences, and innate desire that define human artwork. Despite these limitations, AI is not a replacement for human creativity but rather a continuation of artistic potential. It allows artists to experiment with new styles, automate processes, and explore hybrid artistic forms as a collaborative tool. The results of the study indicate that artificial intelligence will continue to impact the visual and performing arts in the future by promoting cooperation between human artists and intelligent computers by introducing new aesthetic dimensions to the field of art. 2025-01-01T00:00:00Z http://repository.lib.vpa.ac.lk/handle/123456789/2521 Issues and theories behind the conservation of two-dimensional (2D) artifacts in Sri Lanka using digital technology Wickramasinghe, WAP; Jayasiri, A Conservation of cultural heritage is an area of science that describes how to preserve various products of art, architecture and other cultural works. There are different types of valuable artworks required for conservation in Colombo Museum and some historical temples in Sri Lanka. The aim of this paper is to identify issues and theories behind the conservation of 2D artefact in Sri Lanka using digital technology. As the research methodology, a survey, a case study of digital photos of Bellanwila Temple taken by Lal Hegoda and interviews were used to identify the process, issues and techniques applied for conserving 2D artifacts through digitization. In literature search and analysis, image stitching technique was identified as one of the main technologies used in this area and it was well studied in different perspectives in this research. Further, it was able to identify two main approaches for image stitching as feature based method and direct method by reviewing several research papers in the area of image stitching. Further, it was identified steps applied for the process of developing a panoramic image. Furthermore, several feature based techniques were identified for different types of applications in the subject area with the details of their inherent features and limitations. In this paper, findings of the literature review and the results of the above research methods are discussed in different directions with the identification of issues and theories behind the conservation of two dimensional (2D) artifacts in Sri Lanka using digital technology. 2024-01-01T00:00:00Z http://repository.lib.vpa.ac.lk/handle/123456789/2520 Statistical Model for the Quality of Panoramic Images of Mural Paintings Wickramasinghe, WAP; Jayasiri, A 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. 2022-01-01T00:00:00Z