Color Documents on the Web with DJVU

ICIP(1999)

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摘要
We present a new image compression techniquecalled "DjVu" that is specifically geared towards thecompression of scanned documents in color at highresolution. With DjVu, a magazine page in color at300dpi typically occupies between 40KB and 80KB,approximately 5 to 10 times better than JPEG fora similar level of readability. Using a combinationof Hidden Markov Model techniques and MDL-drivenheursitics, DjVu first classifies each pixel in the imageas either foreground (text, drawings) or...
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关键词
data compression,hidden Markov models,image coding,online front-ends,pattern matching,wavelet transforms,DjVu,JPEG,MDL-driven heuristics,Web,bitonal image,color documents,decoders,encoders,hidden Markov model,image compression,masking algorithm,pattern matching,pixel categories,scanned documents,wavelet-based compression,web browsers
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