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Progressive medical image coding using binary wavelet transforms

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Abstract

In this paper, a new algorithm for progressive medical image coding is presented. An 8-bit gray scale image is divided into eight binary bit-planes, and then, binary wavelet transform is performed on each bit-plane to extract the three-level multi-resolution binary wavelet transformed images. Starting from the most significant bit-plane, each bit-plane is encoded using quadtree-based partitioning scheme to exploit the energy concentration in the high-frequency subbands. Experiments are conducted on ultrasound, MRI and CT images to prove the effectiveness of the proposed algorithm. The results show a significant improvement in terms of bit-rate for the required peak signal-to-noise ratio and correlation coefficient as compared to the existing state-of-art progressive image coding methods.

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Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Roorkee, 247667, Uttarakhand, India

    Tirupathiraju Kanumuri, M. L. Dewal & R. S. Anand

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  1. Tirupathiraju Kanumuri
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  2. M. L. Dewal
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  3. R. S. Anand
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Correspondence to Tirupathiraju Kanumuri.

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Kanumuri, T., Dewal, M.L. & Anand, R.S. Progressive medical image coding using binary wavelet transforms. SIViP 8, 883–899 (2014). https://doi.org/10.1007/s11760-012-0325-1

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  • DOI: https://doi.org/10.1007/s11760-012-0325-1

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