Abstract
A new lossy coding method is proposed for binary images using high-order context model based on vector quantization (VQ). In the proposed approach, the context is determined based on adjacent blocks. In practice, probability distribution of all the blocks pattern is highly non-uniform. Thus, it is possible to reduce the number of contexts significantly without sacrificing compression performance. It is shown using the approach show that the compression obtained ranges from 20 to 60. It is observed that the computer generated characters have better visual quality than hand written characters. The test images are engineering drawing maps for pipelines and CCITT test images.
| Original language | English (US) |
|---|---|
| Number of pages | 1 |
| Journal | Data Compression Conference Proceedings |
| State | Published - 1998 |
| Event | Proceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA Duration: Mar 30 1998 → Apr 1 1998 |
ASJC Scopus subject areas
- Computer Networks and Communications