Bit map reconstruction for document image compression

Qin Zhang; John M. Danskin

doi:10.1117/12.257288

1 November 1996 Bit map reconstruction for document image compression

Qin Zhang, John M. Danskin

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257288
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

We introduce a pattern matching algorithm and a bitmap reconstruction method used in document image compression. This pattern matching algorithm uses the cross entropy between two patterns as the criterion for a match. We use a physical model which is based on the finite resolution of the scanner to estimate the probability values used in cross entropy calculation. The matching algorithm is enhanced by the bitmap reconstruction method which infers a good high resolution image form a series of poor low resolution images. This bitmap reconstruction method is based on the naive image averaging method, but it uses a preprocessing smoothing filter and it is done in a higher resolution than the original image. Experimental results show that this pattern matching algorithm and this bitmap reconstruction method compare favorably to previous techniques.

Citation Download Citation

Qin Zhang and John M. Danskin "Bit map reconstruction for document image compression", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); https://doi.org/10.1117/12.257288

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