Optimization of Fractal Image Compression
Fuente:
arXiv
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866912790496673792 |
|---|---|
| author | Bagheritabar, Nastaran Pourshab Mohsen |
| author_facet | Bagheritabar, Nastaran Pourshab Mohsen |
| contents | Fractal Image Compression (FIC) is a lossy image compression technique that leverages self-similarity within an image to achieve high compression ratios. However, the process of compressing the image is computationally expensive. This paper investigates optimization techniques to improve the efficiency of FIC, focusing on increasing compression ratio and reducing computational time. The paper explores a novel approach named the Box Counting Method for estimating fractal dimensions, which is very simple to integrate into FIC compared to other algorithms. The results show that implementing these optimization techniques enhances both the compression ratio and the compression time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_06325 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Optimization of Fractal Image Compression Bagheritabar, Nastaran Pourshab Mohsen Image and Video Processing Fractal Image Compression (FIC) is a lossy image compression technique that leverages self-similarity within an image to achieve high compression ratios. However, the process of compressing the image is computationally expensive. This paper investigates optimization techniques to improve the efficiency of FIC, focusing on increasing compression ratio and reducing computational time. The paper explores a novel approach named the Box Counting Method for estimating fractal dimensions, which is very simple to integrate into FIC compared to other algorithms. The results show that implementing these optimization techniques enhances both the compression ratio and the compression time. |
| title | Optimization of Fractal Image Compression |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2507.06325 |