Abstract
The code generated by fractal coding of a digital image provides a resolution-independent representation of the image as this code can be decoded to generate a digital image at any resolution. When the image is decoded at a size larger than the original encoded image, image details beyond the resolution of the original image are predicted by assuming local self-similarity in image at different scales. In this paper, we (1) present a formulation of how decoding may be done at a higher resolution, (2) evaluate the accuracy of the predicted details using a frequency analysis of fractally enlarged test images, and (3) propose a method for fractal resolution enhancement without the low-frequency loss of information due to fractal coding.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1089-1100 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3024 |
| DOIs | |
| State | Published - 1997 |
| Event | Visual Communications and Image Processing '97 - San Jose, CA, United States Duration: Feb 12 1997 → Feb 12 1997 |
Keywords
- Coding
- Compression
- Fractal
- Image
- Interpolation
- Resolution enhancement
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering