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High Efficient Haar Wavelets for Medical Image Compression

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

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Abstract

In this paper, we proposed an improved high efficient Haar wavelets (HEHW) algorithm to improve the quality of image compression ratio (CR) rate and peak signal to noise ratio for medical imaging. The proposed algorithm starts by partitioning the original image into 2 * 2 submatrices. Then the wavelets transform coefficients obtained by working on the submatrices instead of the rows and on the columns in the original image. We re-compute the resulting coefficients for sub-matrices to obtain the approximation and the sub details of the original image. Then, we calculate statistical thresholds on the details subbands to complete the compression process. The proposed algorithm is applied to five different medical image structures to prove its efficiency using the evaluation factors like CR, peak signal to noise ratio, mean square error and transform time. The comparison between the proposed and the well-known modified Haar method also compared to the results of existing wavelets techniques: like Coiflet, Daubechies, Biorthogonal, Dmeyer, and Symlets to prove the proposed algorithm efficiency.

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Author information

Authors and Affiliations

  1. Mathematics Department, Faculty of Science, Sohag University, Sohag, Egypt

    E. A. Zanaty

  2. Computer Science and Mathematics Department, Faculty of Science, South Valley University, Qena, Egypt

    Sherif M. Ibrahim

Authors
  1. E. A. Zanaty
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  2. Sherif M. Ibrahim
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Corresponding authors

Correspondence to E. A. Zanaty or Sherif M. Ibrahim .

Editor information

Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

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Zanaty, E.A., Ibrahim, S.M. (2020). High Efficient Haar Wavelets for Medical Image Compression. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_50

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