Lossless compression of pre-press images using a novel colour decorrelation technique

  • Steven Van Assche
  • Wilfried Philips
  • Ignace Lemahieu
Poster Session C: Compression, Hardware & Software, Image Databases, Neural Networks, Object Recognition & Construction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

In the pre-press industry colour images have both a high spatial and a high colour resolution. Such images require a considerable amount of storage space and impose long transmission times. Data compression is desired to reduce these storage and transmission problems. Most existing compression schemes operate on gray-scale images. However, in the case of colour images higher compression ratios can be achieved by exploiting inter-colour redundancies.

In this paper a new lossless colour transform is proposed, based on the KLT. This transform removes redundancies in the colour representation of each pixel and can be combined with many existing compression schemes. In this paper it is combined with a prediction scheme that exploits spatial redundancies.

The results proposed in this paper show that the colour transform typically saves about a half to two bit per pixel, compared to a purely predictive scheme. The results also suggest that combining the proposed KLT scheme with the state-of-the-art CALIC gray-scale-only coder could significantly increase the compression ratio of that scheme.

Keywords

Compression Ratio Prediction Scheme Spatial Prediction Lossless Compression Arithmetic Coder 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Steven Van Assche
    • 1
  • Wilfried Philips
    • 1
  • Ignace Lemahieu
    • 1
  1. 1.Department of Electronics and Information SystemsUniversity of GhentGentBelgium

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