The Chain Pyramid: Hierarchical Contour Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Arithmetic coding for data compression
Communications of the ACM
Hierarchical representation of chain-encoded binary image contours
Computer Vision and Image Understanding
Applied Geometry for Computer Graphics
Applied Geometry for Computer Graphics
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Algorithm for computer control of a digital plotter
IBM Systems Journal
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
A similarity metric for edge images
IEEE Transactions on Pattern Analysis and Machine Intelligence
JBEAM: multiscale curve coding via beamlets
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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The paper presents an algorithm JCURVE for compression of binary images with linear or curvilinear features, which is a kind of generalization of the JBEAM coder. The proposed algorithm is based on second order beamlet representation, where second order beamlets are defined as hierarchically organized segments of conic curves. The algorithm can compress images in both a lossy and losless way, and it is also progressive. The experiments performed on benchmark images have shown that the proposed algorithm significantly outperforms the known JBIG2 standard and the base JBEAM algorithm both in losless and lossy compression. It is characterized, additionally, by the same time complexity as JBEAM, namely O(N2 log2 N) for image of size N × N pixels.