Abstract
Compression is one of the most important techniques to storage and transmission requirements of enormous data including medical images. In this paper, we proposed an algorithm for medical image compression based on lifting Scheme bi-orthogonal wavelet transform CDF 9/7 coupled with modified SPIHT coding algorithm. Medical images such as magnetic resonance (MR) and computed tomography (CT) images. Lifting scheme gave better results. Our algorithm provides high Peak Signal to Noise Ratio (PSNR) and Compression Ratio (CR).
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Koshti, S.S., Kendule, J.A. (2018). Compression of Medical Images Using Lifting Scheme Based Bi-orthogonal CDF Wavelet Coupled with Modified Set Partitioning in Hierarchical Trees (SPIHT) Algorithm. In: Pawar, P., Ronge, B., Balasubramaniam, R., Seshabhattar, S. (eds) Techno-Societal 2016. ICATSA 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-53556-2_33
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DOI: https://doi.org/10.1007/978-3-319-53556-2_33
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