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A New Digital Image Compression Method Using Chrestenson Transform

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

Abstract

In this paper, a new and innovative method to compress a digital image is proposed. This method first explores Chrestenson transform, then proposes p-adic process concept, and finally comes out with a practical way to form the p-adic process using real data, i.e., the digital image in this paper. It is first proved in [2] that Chrestenson transform of p-adic process is equivalent to K-L transform. We proposes a new method to generate the p-adic process from image data by extrapolating the data in a specific way. The result is verified and proved by initial simulations, and our method is shown to outperform the usual DCT transform.

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References

  1. Chrestenson, H.F.: A Class of gerneralized Walsh functions. Pacific Journal of Math. 5, 17–31 (1955)

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  2. Zhongkan, L.: Chrestenson transform representation theorems and its applications. Journal of Beihang University, 2 (1987) (in Chinese)

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  3. Zhou, M., Liu, Z., Hama, H.: A Resolution-Controllable Harmonical Retrieval Approach on the Chrestenson Discrete Space. IEEE transactions on Signal Processing, 42(5), May 1994

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Correspondence to Mingyong Zhou .

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© 2016 Springer International Publishing Switzerland

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Zhou, M., Liu, Z., Hama, H. (2016). A New Digital Image Compression Method Using Chrestenson Transform. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

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