Abstract
Wavelet transforms have recently gained wide application in many areas of signal and image processing and are particularly well-suited to efficiently encoding real-world images. The localized nature of the wavelet transform also lends itself to allowing the user to specify areas of interest that can be preserved with maximum fidelity while the rest of the image, which provides context, is compressed. We present examples of wavelet-based compression on a variety of medical images, and comparisons with JPEG compressions. We also discuss the improvement gained by true 3-D compression of a 3-D image, and issues in the treatment of human visual system response, and extensions of the current approach to still more efficient compression schemes.
| Original language | English (US) |
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| Pages | 645-650 |
| Number of pages | 6 |
| State | Published - 1994 |
| Event | Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) - St. Louis, MO, USA Duration: Nov 13 1994 → Nov 16 1994 |
Other
| Other | Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'94) |
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| City | St. Louis, MO, USA |
| Period | 11/13/94 → 11/16/94 |
ASJC Scopus subject areas
- General Engineering