Abstract
In this paper a novel approach for medical images transform by the Multistage Principal Component Analysis (MPCA) algorithm is presented. It consists of applying PCA over series of pixels grouped two by two in multiple stages. The process is extremely straightforward and the computation complexity is considerably reduced in comparison to the full PCA performed over the whole image. Promising results are achieved experimentally over a multitude of test images and the proposed approach is considered very perspective for both lossy and lossless compression of medical visual data.
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Draganov, I., Kountchev, R., Georgieva, V. (2013). Medical Images Transform by Multistage PCA-Based Algorithm. In: Kountchev, R., Iantovics, B. (eds) Advances in Intelligent Analysis of Medical Data and Decision Support Systems. Studies in Computational Intelligence, vol 473. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00029-9_8
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DOI: https://doi.org/10.1007/978-3-319-00029-9_8
Publisher Name: Springer, Heidelberg
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