Introduction to algorithms
Automated document segmentation
Pattern Recognition Letters
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Content Layer Progressive Coding of Digital Maps
DCC '00 Proceedings of the Conference on Data Compression
Embedded Coding of Palette Images in the Topological Space
DCC '02 Proceedings of the Data Compression Conference
A Wavelet Coder for Masked Images
DCC '01 Proceedings of the Data Compression Conference
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Optimizing block-thresholding segmentation for multilayer compression of compound images
IEEE Transactions on Image Processing
Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
IEEE Transactions on Circuits and Systems for Video Technology
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We present a fast and efficient coding algorithm for compound images. Unlike popular mixture raster content (MRC) based approaches, we propose to attack compound image coding problem from the perspective of modeling location uncertainty of image singularities. We suggest that a computationally simple two-class segmentation strategy is sufficient for the coding of compound images. We argue that jointly exploiting topological properties of image source in classification and coding stages is beneficial to the robustness of compound image coding systems. Experimental results have justified eectiveness and robustness of the proposed topological coding algorithms.