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Hierarchical bilevel image compression based on cutset sampling | IEEE Conference Publication | IEEE Xplore

Hierarchical bilevel image compression based on cutset sampling


Abstract:

We propose a hierarchical lossy bilevel image compression method that relies on adaptive cutset sampling (along lines of a rectangular grid with variable block size) and ...Show More

Abstract:

We propose a hierarchical lossy bilevel image compression method that relies on adaptive cutset sampling (along lines of a rectangular grid with variable block size) and Markov Random Field based reconstruction. It is an efficient encoding scheme that preserves image structure by using a coarser grid in smooth areas of the image and a finer grid in areas with more detail. Experimental results demonstrate that the proposed method performs as well as or better than the fixed-grid approach, and outperforms other lossy bilevel compression methods in its rate-distortion performance.
Date of Conference: 30 September 2012 - 03 October 2012
Date Added to IEEE Xplore: 21 February 2013
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Conference Location: Orlando, FL, USA

References

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