01199nas a2200145   4500000000100000008004100001100002300042700002200065700002100087245008600108300001400194490000700208520081700215022002101032       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