Abstract
Ultrasound images mainly suffer from speckle noise which makes it difficult to differentiate between small details and noise. Conventional anisotropic diffusion approaches tend to provide edge sensitive diffusion for speckle suppression. This paper proposes a novel approach for removal of speckle along with due smoothening of irregularities present in the ultrasound images by modifying the diffusion coefficient in anisotropic diffusion approach. The present work proposes a diffusion coefficient which is a function of difference of instantaneous coefficient (of variation) and the coefficient of variation for homogeneous region. The finally reconstructed image is obtained by weighted addition of the response of proposed anisotropic diffusion filter and the Laplacian filtered image. Simulation results show that performance of the proposed approach is significantly improved in comparison to recently developed anisotropic diffusion filters for speckle suppression.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Kremkau, F.W.: Diagnostic ultrasound: principles and instruments. Saunders, New York (2003)
Gobbi, D.G., Comeau, R.M., Peters, T.M.: Ultrasound probe tracking for real-time ultrasound/MRI overlay and visualization of brain shift. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 920–927. Springer, Heidelberg (1999)
Lee, J.S.: Digital enhancement and noise filtering by use of local statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence 2(2), 165–168 (1980)
Kuan, D.T., Sawchuck, A.A., Strand, T.C., et al.: Adaptive noise smoothing filter for images with signal dependent noise. IEEE Transactions on Pattern Analysis and Machine Intelligence 7(2), 165–177 (1985)
Fabbrini, L., Greco, M., Messina, M., Pinelli, G.: Improved anisotropic diffusion filtering for SAR image despeckling. Electronics Letters 49(10), 672–674 (2013)
Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)
Aja-Fernández, S., Alberola-López, C.: On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering. IEEE Transactions on Image Processing 15(9), 2694–2701 (2006)
Yu, Y., Acton, S.: Speckle reduction anisotropic diffusion. IEEE Transactions on Image Processing 11(11), 1260–1270 (2002)
Krissian, K., Westin, C.F., Kikinis, R., Vosburgh, K.: Oriented speckle reducing anisotropic diffusion. IEEE Transactions on Image Processing 16(5), 1412–1424 (2007)
Chen, Q., Montesinos, P., Sun, Q.S.: Ramp preserving Perona-Malik model. Signal Processing 90, 1963–1975 (2010)
You, Y., Kaveh, M.: Fourth order partial differential equations for noise removal. IEEE Transactions on Image Processing 9(10), 1723–1730 (2000)
Liu, G., Zeng, X., Tian, F., Li, Z., Chaibou, K.: Speckle reduction by adaptive window anisotropic diffusion. Signal Processing 89, 2233–2243 (2009)
Gupta, A., Tripathi, A., Bhateja, V.: Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm. In: Satapathy, S.C., Udgata, S.K., Biswal, B.N. (eds.) Proceedings of Int. Conf. on Front. of Intell. Comput. AISC, vol. 199, pp. 747–754. Springer, Heidelberg (2013)
Gupta, A., Tripathi, A., Bhateja, V.: De-Speckling of SAR Images in Contourlet Domain Using a New Adaptive Thresholding. In: Proc. of (IEEE) 3rd International Advance Computing Conference (IACC), Ghaziabad (U.P.), India, pp. 1257–1261 (2013)
Bhateja, V., Tripathi, A., Gupta, A.: An Improved Local Statistics Filter for Denoising of SAR Images. In: Thampi, S.M., Abraham, A., Pal, S.K., Rodriguez, J.M.C. (eds.) Recent Advances in Intelligent Informatics. AISC, vol. 235, pp. 23–29. Springer, Heidelberg (2014)
Jain, A., Singh, S., Bhateja, V.: A Robust Approach for Denoising and Enhancement of Mammographic Breast Masses. International Journal on Convergence Computing 1(1), 38–49 (2013)
Jain, A., Bhateja, V.: A Novel Image Denoising Algorithm for Suppressing Mixture of Speckle and Impulse Noise in Spatial Domain. In: Proc. of (IEEE) 3rd International Conference on Electronics and Computer Technology (ICECT), Kanyakumari, India, vol. 3, pp. 207–211 (2013)
Singh, S., Jain, A., Bhateja, V.: A Comparative Evaluation of Various Despeckling Algorithms for Medical Images. In: Proc. of (ACMICPS) CUBE International Information Technology Conference & Exhibition, Pune, India, pp. 32–37 (2012)
Yu, Y., Acton, S.: Edge detection in ultrasound imagery using the instantaneous coefficient of variation. IEEE Transactions on Image Processing 13(12), 1640–1655 (2004)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13(4), 600–612 (2004)
Alain, H., Djemel, Z.: Image quality metrics: PSNR vs. SSIM. In: International Conference on Pattern Recognition, pp. 2366–2369 (2010)
Gupta, P., Srivastava, P., Bharadwaj, S., Bhateja, V.: A HVS based Perceptual Quality Estimation Measure for Color Images. ACEEE International Journal on Signal & Image Processing (IJSIP) 3(1), 63–68 (2012)
Gupta, P., Srivastava, P., Bharadwaj, S., Bhateja, V.: A Novel Full-Reference Image Quality Index for Color Images. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds.) Proceedings of the InConINDIA 2012. AISC, vol. 132, pp. 245–253. Springer, Heidelberg (2012)
Gupta, P., Tripathi, N., Bhateja, V.: Multiple Distortion Pooling Image Quality Assessment. International Journal on Convergence Computing 1(1), 60–72 (2013)
Gupta, P., Srivastava, P., Bharadwaj, S., Bhateja, V.: A Modified PSNR Metric based on HVS for Quality Assessment of Color Images. In: Proc. of IEEE International Conference on Communication and Industrial Application (ICCIA), Kolkata (W.B.), India, pp. 96–99 (2011)
Jain, A., Bhateja, V.: A Full-Reference Image Quality Metric for Objective Evaluation in Spatial Domain. In: Proc. of IEEE International Conference on Communication and Industrial Application (ICCIA), Kolkata (W. B.), India, pp. 91–95 (2011)
Bhateja, V., Srivastava, A., Kalsi, A.: Fast SSIM Index for Color Images Employing Reduced-Reference Evaluation. In: Satapathy, S.C., Udgata, S.K., Biswal, B.N. (eds.) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. AISC, vol. 247, pp. 447–454. Springer, Heidelberg (2014)
Bhateja, V., Urooj, S., Pandey, A., Misra, M., Lay-Ekuakille, A.: A Polynomial Filtering Model for Enhancement of Mammogram Lesions. In: Proc. of IEEE International Symposium on Medical Measurements and Applications (MeMeA 2013), Gatineau (Quebec), Canada, pp. 97–100 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Bhateja, V., Singh, G., Srivastava, A. (2014). A Novel Weighted Diffusion Filtering Approach for Speckle Suppression in Ultrasound Images. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_52
Download citation
DOI: https://doi.org/10.1007/978-3-319-02931-3_52
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
Online ISBN: 978-3-319-02931-3
eBook Packages: EngineeringEngineering (R0)