Abstract
Medical images are very sensitive in nature. During transmission, noise may be added to the image which affects the performance of the system. Generally, images are affected by speckle, Gaussian, and impulse noise. It is essential to remove the noise present in the image. Filters such as adaptive median filter, decision-based algorithm, modified quaternion vector filter, progressive switching median filter, and decision-based unsymmetrical trimmed variant are used for reduction of impulse noise present in the image. A method has been proposed in this paper for removing impulse noise present in the medical images. This technique uses a nonoverlapping window of size 2 × 2, and processing of image is done at the window level by taking consideration of noise-free pixel present in this window. The proposed filter removes impulse noise effectively from medical images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
H. Hwang and R. A. Hadded, “Adaptive median filter: new algorithms and results”, IEEE Transactions on Image Processing, vol. 4, Issue 4, pp. 499–502, 1995.
Z. Wang and D. Zhang, “Progressive switching median filter for the removal of impulse noise from highly corrupted images”, IEEE Transactions on Circuits and Systems-II, vol. 46, pp. 78–80, 1999.
K. K. V. Toh and N. A. M. Isa, “Noise adaptive fuzzy switching median filter for salt-and-pepper noise reduction”, IEEE Signal Processing Letters, vol. 17, Issue 3, pp. 281–284, 2010.
K. S. Srinivasan and D. Ebenezer, “A new fast and efficient decision based algorithm for removal of high density impulse noise”, IEEE Signal Processing Letters, vol. 14, Issue 3, pp. 189–192, 2007.
S. Esakkirajan, T. Veerakumar, A. N. Subramanyam and C. H. Prem Chand, “Removal of high density salt and pepper noise through modified decision based unsymmetric trimmed median filter”, IEEE Signal Processing Letters, vol. 18, Issue 5, pp. 287–290, 2011.
Jin Hyuk Hong, S. Bae Cho and Ung Keun Cho, “A Novel Evolutionary Method to Image Enhancement Filter Design: Method and Applications”, IEEE Transactions on Systems, vol. 39, Issue 6, pp. 1446–1457, 2009.
G. Elaiyaraja, N. Kumaratharan and C. R. Prapau, “Modified Quaternion Based Impulse Noise Removal with Adaptive Threshold from Color Video Sequences and Medical Images”, Middle-East Journal of Scientific Research, vol. 23, Issue 7, pp. 1382–1389, 2015.
J. B. Bednar and T. L. Watt, “Alpha-Trimmed Means and their Relationship to Median Filters”, IEEE Transactions On Acoustics, Speech and Signal Processing, vol. 32, Issue 1, pp. 145–153, February 1984.
V. Vedanarayanan, “Content Based Noise Removal using non Linear Filter for the Elimination of outliers in mammogram images for effective identification of lesion”, Research Journal of Pharmaceutical, Biological and chemecal science, vol. 6, Issue 3, pp. 237–244, 2015.
Elaiyaraja, N. Kumaratharan and C. Rama Prapau, “Modified Quaternion Based Impulse Noise Removal with Adaptive Threshold from Color Video Sequences and Medical Images”, Middle-East Journal of Scientific Research, vol. 23, Issue 7, pp. 1382–1389, 2015.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, P., Chandra, M., Kumar, S. (2019). Trimmed Median Filter for Removal of Noise from Medical Image. In: Nath, V., Mandal, J. (eds) Proceeding of the Second International Conference on Microelectronics, Computing & Communication Systems (MCCS 2017). Lecture Notes in Electrical Engineering, vol 476. Springer, Singapore. https://doi.org/10.1007/978-981-10-8234-4_18
Download citation
DOI: https://doi.org/10.1007/978-981-10-8234-4_18
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8233-7
Online ISBN: 978-981-10-8234-4
eBook Packages: EngineeringEngineering (R0)