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IEEE Transactions on Pattern Analysis and Machine Intelligence
Data GroundTruth, Complexity, and Evaluation Measures for Color Document Analysis
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Computerising Natural History Card Archives
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
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Real-time screen image scaling and its GPU acceleration
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
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Scanned compound document encoding using multiscale recurrent patterns
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
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ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
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DjVu is an image compression technique specifically geared towards the compression of scanned documents in color at high resolution. Typical magazine pages in color scanned at 300dpi are compressed to between 40 and 80 KB, or 5 to 10 times smaller than with JPEG for a similar level of subjective quality. The foreground layer, which contains the text and drawings and requires high spatial resolution, is separated from the background layer, which contains pictures and backgrounds and requires less resolution. The foreground is compressed with a bi-tonal image compression technique that takes advantage of character shape similarities. The background is compressed with a new progressive, wavelet-based compression method. A real-time, memory efficient version of the decoder is available as a plug-in for popular web browsers.