Forward Adaptive Modeling for Context-Based Compression of Large Binary Images in Applications Requiring Spatial Access

A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forward-adaptive modeling and backward-adaptive context based compression with reinitialization. Compression stage is performed by JBIG arithmetic coder, namely the QM-coder. The method improves the compression performance significantly in comparison to JBIG if it is used in a similar manner. Only minor modifications to the existing software implementations are required. Implementation details are provided.

• Type: Conference
• Year: 1999
• Where: ICIP
• Authors: Eugene I. Ageenko, Pasi Fränti
• Keywords: Compression Stage, Context Based Compression, ICIP 1999, Image Processing, JBIG Arithmetic Coder