Progressive geometry compression
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast Progressive Image Coding without Wavelets
DCC '00 Proceedings of the Conference on Data Compression
Archive Image Communication with Improved Compression
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Geometric compression of a quadrilateral mesh
Computers & Mathematics with Applications
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A number of recent embedded transform coders, including Shapiro's (1993) EZW scheme, Said and Pearlman's (see IEEE Trans. Circuits and Systems for Video Technology, vol.6, no.3, p.243-250, 1996) SPIHT scheme, and Xiong et al. (see IEEE Signal Processing Letters, no.11, 1996) EZDCT scheme employ a common algorithm called significance tree quantization (STQ). Each of these coders have been selected from a large family of significance tree quantizers based on empirical work and a priori knowledge of the transform coefficient behavior. We describe an algorithm for selecting a particular form of STQ that is optimized for a given class of images. We apply our optimization procedure to the task of quantizing 8/spl times/8 DCT blocks. Our algorithm yields a fully embedded, low-complexity coder with performance from 0.7 to 2.5 dB better than baseline JPEG for standard test images.