01225nas a2200169   4500000000100000000000100001000000100002008004100003100002300044700002200067700002100089245008600110300001400196490000700210520081700217022002101034       2007                            d1 aPrzemysław Głomb1 aZbigniew Puchała1 aArkadiusz Sochan00aContext selection for efficient bit modeling of contourlet transform coefficients  a135–1460 v193 aContourlet transform is named as one possible successor to the wavelet transform as a tool for representation of image information. It has better properties in representation of edge information, which make it suitable for designing image compression systems. It is not clear, however, how to exploit the statistical structure of the coefficients generated by this transform in effective compression algorithm. In this work, authors propose a general, nonparametric method to achieve context map, thus allowing for efficient application of EBCOT/JPEG 2000 bit modeling and encoding approach to contourlet transformed images. The article presents the derivation of the method and experiments performed on a publicly available image set. Keywords: contourlet transform, coefficient bit modeling, context estimation  aISSN 1896–5334