Conference paper
Content layer progressive coding of digital maps
A new lossless context based method is presented for content progressive coding of limited bits/pixel images, such as maps, company logos, etc., common on the WWW. Progressive encoding is achieved by separating the image into content layers based on other predefined information. Information from already coded layers are used when coding subsequent layers.
This approach is combined with efficient template based context bi-level coding, context collapsing methods for multi-level images and arithmetic coding. Relative pixel patterns are used to collapse contexts. The number of contexts are analyzed. The new methods outperform existing coding schemes coding digital maps and in addition provide progressive coding.
Compared to the state-of-the-art PWC coder, the compressed size is reduced to 60-70% on our layered test images.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2000 |
| Pages: | 233-242 |
| Proceedings: | Data Compression Conference 2000 |
| ISBN: | 0769505929 and 9780769505923 |
| ISSN: | 23750383 and 10680314 |
| Types: | Conference paper |
| DOI: | 10.1109/DCC.2000.838163 |
| ORCIDs: | Forchhammer, Søren |
Application software Arithmetic Graphics Image coding Internet Pixel Quantization Testing WWW Web pages World Wide Web arithmetic codes arithmetic coding company logos content progressive coding context collapsing methods data compression digital maps image coding lossless context based method multi-level images relative pixel patterns template based context bi-level coding
