Abstract
In the paper is presented one new approach for efficient processing of ultrasound medical images. The application of the algorithm for image compression based on the inverse difference pyramid (IDP) permits together with considerable compression ratio to achieve suppression of the specific (speckle) noise in ultrasound medical images. The paper describes the principle of image decomposition and its modification, designed for this medical application. Special attention is paid to achieve relatively low computational complexity of the used algorithms. Besides, an adaptive filtration aimed at the visual quality improvement of the restored image is also included. At the end of the paper are given experimental results and comparison with other contemporary methods for image archiving based on the JPEG and JPEG 2000 standards.
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References
Taubman, D., Marcellin, M.: JPEG2000: Image Compression Fundamentals, Standards and Practice. Kluwer Academic Publishers, Boston (2002)
Information Technology–JPEG 2000 Image Coding System: Part 9–Interactivity Tools, APIs and Protocols, no.15444-9, ISO/IECJTC1/SC29/WG1IS, Rev. 3 (2003)
Cincotti, G., Loi, G., Pappalardo, M.: Frequency Decomposition and Compounding of Ultrasound Medical Images with Wavelet Packets. IEEE Trans. on Medical Imaging 20(8), 764–771 (2001)
Saad, A.: Simultaneous Speckle Reduction and Contrast Enhancement for Ultrasound Images: Wavelet Versus Laplacian Pyramid. Pattern Recognition and Image Analysis 18(1), 63–70 (2006)
Gupta, S., Chauhan, R., Sexana, S.: Wavelet-based Statistical Approach for Speckle Reduction in Medical Ultrasound Images. Medical and Biological Engineering and Computing 42(2), 189–192 (2004)
Michailovich, V., Tannenbaum, A.: Despeckling of Medical US Images. IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control 53(1), 64–78 (2006)
Achim, A., Bezerianos, A., Tsakalides, P.: Novel Bayesian Multiscale Method for Speckle Removal in Medical Ultrasound Images. IEEE Trans. on Medical Imaging 20(8), 772–783 (2001)
Pizurica, A., Philips, W., Lemahieu, I., Acheroy, M.: A Versatile Wavelet Domain Noise Filtration Technique for Medical Imaging. IEEE Trans. on Medical Imaging 22(3), 323–331 (2003)
Dutt, V., Greenleaf, J.: Speckle Analysis Using Signal to Noise Ratios Based on Fractional Order Moments. In: Ultrasonic Imaging, vol. 17, pp. 251–268. Academic Press (1995)
Czerwinski, R., Jones, D., O’Brien, W.: Detection of Lines and Boundaries in Speckle Images–Application to Medical Ultrasound. IEEE Trans. on Medical Imaging 18(2), 126–136 (1999)
Rao, K., Yip, P.: Discrete Cosine Transform: Algorithms, Advantages, Applications. Academic Press (1990)
Nachtegael, M., et al.: Fuzzy Filters for Image Processing. Springer (2003)
Nie, Y., Barner, K.: Optimized Fuzzy Transformation for Image Deblocking. IEEE ICME 1, 541–544 (2003)
Kountchev, R., Milanova, M., Ford, C., Kountcheva, R.: Multi-layer Image Transmission with Inverse Pyramidal Decomposition. In: Halgamuge, S., Wang, L. (eds.) Computational Intelligence for Modeling and Predictions, vol. 2(13), pp. 179–196. Springer (2005)
Kountchev, R., Milanova, M., Todorov, V., Kountcheva, R.: Adaptive Fuzzy Filter for Reduction of Blocking Artifacts in Images Compressed with IDP Decomposition and JPEG. WSEAS Trans. on Signal Processing 7(2), 941–948 (2006)
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Kountchev, R., Todorov, V., Kountcheva, R. (2013). Compression with Adaptive Speckle Suppression for Ultrasound Medical Images. 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_5
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DOI: https://doi.org/10.1007/978-3-319-00029-9_5
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