Algorithms for Increasing the Resolution of Digital Images Using Circular Scanning Data
УДК 519.688
Abstract
The article describes an algorithm for increasing the spatial resolution of digital images using circular scanning technology. A methodology for solving the entire chain of problems associated with circular scanning of images is described in full details. It starts with the development of the necessary mathematical model and ends with the final programs and algorithms for optimal subpixel reconstruction of original digital images with increased spatial resolution. The optimal values of the scanning radius are calculated using the software modelling method. It means calculating the relative radius of the photomatrix circular trajectory with the minimal root-mean-square error when reconstructing the original noisy image. Examples of various reconstructed images are shown along with the calculations of reconstruction accuracy for various parameters of circular scanning and levels of multiplicative and additive noise. Software implementation of the developed algorithms is done using the MATLAB system.
Downloads
Metrics
References
Lepcha D., Goyal B., Dogra A, Goyal V. Image SuperResolution: A Comprehensive Review, Recent Trends, Challenges and Applications // Information Fusion. 2023. Vol. 91. No 1. Р. 230-260. DOI: 10.1016/j.inffus.2022.10.007
Deshpande A., Estrela V., Razmjooy N. Computational Intelligence Methods for Super-Resolution in Image Processing Applications. New York: Springer Cham, 2022. 305 p.
El-Samie F. Image Super-Resolution and Applications. London: Routledge, 2019. 504 p.
Irani M., Peleg S. Improving Resolution by Image Registration // Graphical Models and Image Processing. 1991. Vol. 53. No 3. Р. 231-239. DOI: 10.1016/1049-9652(91)90045-L
Васьков С., Ефимов В., Резник А. Быстрая цифровая реконструкция сигналов и изображений по критерию минимума энергии // Автометрия. 2003. Т. 40. № 4. С. 13-20.
Bose N., Lertrattanapanich S., chappalli M. Superresolution with Second Generation Wavelets // Signal Processing: Image communication. 2004. Vol. 19. No 5. Р 387-391. DOI: 10.1016/j.image.2004.02.001
Katsaggelos A., Molina R., Mateos J. Super Resolution of Images and Video. New York: Springer cham. 2007. 13ф4 p.
Xue R., Kang Y. Zhang T., Li L. Zhao W. Sub-Pixel Scanning High-Resolution Panoramic 3D Imaging Based on a SPAD Array // IEEE Photonics Journal. 2021. Vol. 13. No. 4. DOI: 10.1109/JPHOT.2021.3103817 9. Bose N., Ng M. Analysis of Displacement Errors in High-Resolution Image Reconstruction. Special Issue on Multidimensional Signals and Systems // IEEE Trans. circuits and Systems-I. 2002. Vol. 49. No 6. Р 806-813. DOI: 10.1109/TcSI.2002.1010035
Lu Y., Inamura M. Spatial Resolution Improvement of Remote Sensing Images by Fusion of Subpixel-shifted Multi-observation Images // International Journal of Remote Sensing. 2003. Vol. 24. No 23. Р 4647-4660. DOI: 10.1080/01431160310001595064
Резник А., Ефимов В. Повышение пространственного разрешения цифровых изображений и сигналов с помощью регулируемого субпиксельного сканирования // Микросистемная техника. 2003. № 8. С. 20-25.
Reznik A. Soloviev A. Torgov A. Improving the Spatial Resolution of Digital Images and Video Sequences Using Subpixel Scanning // cEUR Workshop Proceedings. 2021. Vol. 3006. P. 238-245. DOI: 10.25743/SDM.2021.44.67.029
Copyright (c) 2024 Александр Львович Резник, Александр Анатольевич Соловьев
This work is licensed under a Creative Commons Attribution 4.0 International License.
Izvestiya of Altai State University is a golden publisher, as we allow self-archiving, but most importantly we are fully transparent about your rights.
Authors may present and discuss their findings ahead of publication: at biological or scientific conferences, on preprint servers, in public databases, and in blogs, wikis, tweets, and other informal communication channels.
Izvestiya of Altai State University allows authors to deposit manuscripts (currently under review or those for intended submission to Izvestiya of Altai State University) in non-commercial, pre-print servers such as ArXiv.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).