Abstract:
A three-stage method for compressing bi-level line-drawing images is proposed. In the first stage, the raster image is vectorised using a combination skeletonising and line tracing algorithm. A feature image is then reconstructed from the vector elements extracted. In the second stage, the original image is processed by a feature-based filter for removing noise in the objects out-line. This improves image quality and compression performance. In the final stage, the filtered raster image is compressed using a standard compression technique, JBIG. For a set of test images, the method achieves a compression ratio of 40:1, in comparison to 33:1 of JBIG.
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Received: 25 November 1998, Received in revised form: 1 April 1999, Accepted: 12 April 1999
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Fränti, P., Ageenko, E. & Kolesnikov, A. Vectorising and Feature-Based Filtering for Line-Drawing Image Compression. Pattern Analysis & Applications 2, 285–291 (1999). https://doi.org/10.1007/s100440050037
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DOI: https://doi.org/10.1007/s100440050037