Abstract
Aim To study the application of wavelet transformation and fractal coding in image compression. Methods Due to the self-similarity existing among the wavelet coefficients of the subbands with different resolutions and spatial orientations, fractal noncontractive affine mapping transformation was used to predict higher resolution subband wavelet coefficient subtrees with lower resolution ones to fully exploit this self-similarity, obtaining high efficient presentation of an image. Results Experiment results show that this scheme can obtain high compression ratio while keeping certain reconstruction image quality (e. g. PSNR=29. 08 dB and compression ratio 74.8). Conclusion This scheme can take full advantage of wavelet transformation coding and fractal coding and can provide a new insight on low bit rate image compression.
| Original language | English |
|---|---|
| Pages (from-to) | 352-356 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 19 |
| Issue number | 3 |
| Publication status | Published - 1999 |
Keywords
- Image compression
- Predictive fractal coding
- Wavelet transformation