Journal article
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 World Wide Web. Progressive encoding is achieved by encoding the image in content layers based on color level or other predefined information.
Information from already coded layers are used when coding subsequent layers. This approach is combined with efficient template based context bilevel coding, context collapsing methods for multilevel images and arithmetic coding. Relative pixel patterns are used to collapse contexts. Expressions for calculating the resulting number of contexts are given.
The new methods outperform existing 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 50-70% on our layered map test images.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2002 |
| Pages: | 1349-1356 |
| ISSN: | 19410042 and 10577149 |
| Types: | Journal article |
| DOI: | 10.1109/TIP.2002.806236 |
| ORCIDs: | Forchhammer, Søren |
Application software Arithmetic Context Graphics Image coding Image communication Internet PWC coder Pixel Testing Web sites World Wide Web arithmetic codes arithmetic coding cartography collapse contexts color level company logos compressed size reduction content layer progressive coding context collapsing methods data compression digital maps efficient template based context bilevel coding image coding image colour analysis layered map test images limited bits/pixel images lossless context based method multilevel images pixel patterns
