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A method for compressing 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 re-initialization of statistics. The method improves compression performance significantly in comparison to a straightforward combination of JBIG and tiling. Only minor modifications to the QM-coder are required and therefore existing softwaredoi:10.1002/(sici)1097-024x(199909)29:11<943::aid-spe266>3.0.co;2-k fatcat:jvqn3vovszepzpuonsjyxd56am