Converting a pixel structure into sound imaginations. Part 1
https://doi.org/10.18384/2949-5067-2023-4-64-80
Abstract
Aim. To identify the connection between visual and sound perception.
Methodology. Using Object-Oriented Programming (OOP) of the Python language, we are looking for a way to convert a visual (pixel) display into an audio display. A number of modern and functional libraries are used. Modern methods of “packing” all software components into a single file are used for convenient program deployment on an electronic computing device (computer) with any modern operating system (OS).
Results. A software product based on the modern object-oriented programming language and functional libraries was created, which allows to present the pixel structure of a visual image in a sound display format.
Research implications. The significance lies in the disclosure of a modern way of “packing” all software components into a single file for convenient program deployment on an electronic computing device (computer) with any modern operating system (OS).
About the Authors
S. A. Klyuchnikov
Federal State University of Education
Russian Federation
Russian Federation
Semen A. Klyuchnikov – Master's Degree Student, Faculty of Physics and Mathematics
ulitsa Very Voloshinoi 24, Mytishchi 141014, Moscow Region
E. V. Kalashnikov
Federal State University of Education
Russian Federation
Russian Federation
Evgenii V. Kalashnikov –Dr. Sci. (Phys.-Math.), Prof., Department of Computational Mathematics and Information Technology
ulitsa Very Voloshinoi 24, Mytishchi 141014, Moscow Region
References
1. Amani M., Falk H., Jensen O. D., Vartdal G., Aune A., Lindseth F. Color Calibration on Human Skin Images. In: Tzovaras D., Giakoumis D., Vincze M., Argyros A., eds. International Conference on Computer Vision Systems. ICVS 2019. Cham, Springer, 2019, pp. 211–223 (Series: Lecture Notes in Computer Science. Vol. 11754). DOI: 10.1007/978-3-030-34995-0_20.
2. Chizhov S. A. [Color management in large-format printing: RGB VS CMYK]. In: Science Time, 2018, no. 9 (57), pp. 43–47.
3. Gotham M., Gullings K., Hamm Ch. et al. Open music theory. Version 2.0. Oklahoma State University, 2021. Available at: https://viva.pressbooks.pub/openmusictheory/ (accessed: 04.06.2023).
Review
Views:
40
Email this article 