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.
|Title of host publication||Proc. IEEE Data Compression Conf.|
|Publication status||Published - 2000|
|Event||Data Compression Conference 2000 - Snowbird, UT, United States|
Duration: 28 Mar 2000 → 30 Mar 2000
|Conference||Data Compression Conference 2000|
|Period||28/03/2000 → 30/03/2000|