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.
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
K. Denecker, J. Van Overloop, and I. Lemahieu. An experimental comparison of several lossless image coders for medical images. In S. Hagerty and R. Renner, editors, Proceedings of the Data Compression Industry Workshop, pages 67–76, Snowbird, Utah, USA, March 1997. Ball Aerospace & Technologies Corp.
Koen Denecker and Ignace Lemahieu. Lossless colour image compression using inter-colour error prediction. In J.-P. Veen, editor, Proceedings of the PRORISC IEEE Benelux Workshop on Circuits, Systems and Signal Processing, pages 95–100, Mierlo, Nederland, November 1996. STW Technology Foundation.
Steven Dewitte and Jan Cornelis. Lossless integer wavelet transform. IEEE Signal Processing Letters, 1997. To be published.
Paul G. Howard and Jeffrey Scott Vitter. Arithmetic coding for data compression. Proceedings of the IEEE, 82(6):857–865, June 1994.
Paul Glor Howard. The Design and Analysis of Efficient Lossless Data Compression Systems. PhD thesis, Department of Computer Science, Brown University, Providence, Rhode Island, June 1993.
Nasir D. Memon and Khalid Sayood. Lossless compression of RGB color images. Optical Engineering, 34(6):1711–1717, 1995.
W. Philips and K. Denecker. A new embedded lossless/quasi-lossless image coder based on the Hadamard transform. In Proceedings of the IEEE International Conference on Image Processing (ICIP97), 1996. To be published.
William K. Pratt. Digital image processing. New-York: Wiley-Interscience, second edition, 1991.
John A. Robinson. Efficient general-purpose image compression with binary tree predictive coding. IEEE Transactions on Image Processing, 6(4):601–608, April 1997.
Amir Said and William A. Pearlman. Image compression via multiresolution representation and predictive coding. In Visual Communications and Image Processing, number 2094 in SPIE, pages 664–674, November 1993.
Amir Said and William A. Pearlman. An image multiresolution representation for lossless and lossy compression. In SPIE Symposium on Visual Communications and Image Processing, Cambridge, MA, November 1993.
The International Telegraph and Telephone Consultative Committee (CCITT), editors. Digital Compression and Coding of Continuous-Tone Still Images. Recommendation T.81, 1992.
Xiaolin Wu and Nasir Memon. CALIC — a context based adaptive lossless image codec. In IEEE International Conference on Acoustics, Speech, & Signal Pocessing, volume 4, pages 1890–1893, May 1996.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Van Assche, S., Philips, W., Lemahieu, I. (1997). Lossless compression of pre-press images using a novel colour decorrelation technique. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63508-4_109
Download citation
DOI: https://doi.org/10.1007/3-540-63508-4_109
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63508-6
Online ISBN: 978-3-540-69586-8
eBook Packages: Springer Book Archive