Abstract
Image enlargement is a process used to increase the size of an image by generating new pixels to fill the additional space while maintaining visual coherence. This paper presents an image enlargement method that uses a combination of High Dimensional Model Representation (HDMR) and Lagrange polynomials to create new pixels and assign appropriate values to them. The proposed method is compared against Nearest Neighbor, Bilinear, Bicubic, and Lanczos interpolation techniques. The results obtained from these comparisons are tabulated in this paper. Experimental findings demonstrate that the HDMR-based technique yields highly promising results.
| Original language | English |
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| Title of host publication | ISAS 2025 - 9th International Symposium on Innovative Approaches in Smart Technologies, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331514822 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025 - Gaziantep, Turkey Duration: 27 Jun 2025 → 28 Jun 2025 |
Publication series
| Name | ISAS 2025 - 9th International Symposium on Innovative Approaches in Smart Technologies, Proceedings |
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Conference
| Conference | 9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025 |
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| Country/Territory | Turkey |
| City | Gaziantep |
| Period | 27/06/25 → 28/06/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- HDMR
- Image enlargement
- image decomposition
- interpolation