Name
Abstract | ||
|---|---|---|
The popularity of high-resolution digital printers and the growing computational requirements of new applications such as printing-on-demand and personalized printing have increased the need for fast and efficient lossless halftone image compression. In a previous paper, we have shown that the compression performance can be improved significantly by adapting the context template to the halftone parameters. Unfortunately, this variability in data dependency makes the modeling stage more complex and slows down the overall compression scheme. In this paper, we describe the design of an improved block-based software and hardware implementation. The software implementation uses complementary line-shifting to by-pass the adaptivity of the template. The hardware implementation is based on the automated construction of a microcoded program from a given template. Experimental results show that our improved implementation achieves approximately the same processing speed as when the fixed context template is applied. The proposed implementation is also of importance for the emerging JBIG2 standard which uses up to four adaptive template pixels. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0923-5965(01)00030-3 | Signal Processing: Image Communication |
Keywords | Field | DocType |
Halftone image compression,Bilevel image compression,JBIG,JBIG2,Compression hardware | JBIG2,Computer vision,Computer science,Image processing,Theoretical computer science,Halftone,Software,Artificial intelligence,JBIG,Codec,Image compression,Lossless compression | Journal |
Volume | Issue | ISSN |
17 | 3 | 0923-5965 |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koen Denecker | 1 | 12 | 3.68 |
| Dimitri Van De Ville | 2 | 1656 | 118.48 |
| Frederik Habils | 3 | 1 | 0.36 |
| Wim Meeus | 4 | 65 | 5.61 |
| Marnik Brunfaut | 5 | 2 | 0.83 |
| Ignace Lemahieu | 6 | 580 | 56.84 |