Abstract
Lossless image compression is required in situations where compression is done once and decompression is to be performed a multiple number of times. A technique for asymmetric lossless image compression is presented. It gives superior performance compared to standard lossless compression techniques by exploiting global correlations. Global correlations means similar pixel patterns that re-occur within the image, not necessarily at close proximity. The developed technique can also be adapted for use in symmetric applications that require high compression ratios. The scheme is based on the notion of a prediction pattern which is simply a k×k array with each of its elements representing a prediction scheme from a given set of predictors.
Original language | English (US) |
---|---|
Pages (from-to) | 457 |
Number of pages | 1 |
Journal | Data Compression Conference Proceedings |
State | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 5th Data Compression Conference - Snowbird, UT, USA Duration: Mar 28 1995 → Mar 30 1995 |
ASJC Scopus subject areas
- Computer Networks and Communications