Abstract
In the current digital world, image processing plays a great role in various applications. Due to the environmental constraints, noise in image is very common and obvious. Anisotropic diffusion is partial differentiation based mathematical process which has been applied for different types of processing operation in the field of image processing. In this work, challenge of getting the optimal gradient threshold in conduction function for anisotropic diffusion is taken care. A global estimation of threshold value is applied instead of local approach. To achieve this global value, the concept of swarm intelligence is taken. Proposed solution is applied to different types of conduction functions and their relative benefits are analyzed. Hence, particle swarm optimization and anisotropic diffusion are used not only to denoise the images but also sharpen the edges.
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
Perona, P., and Malik, J.: “Scale-space and edge detection using anisotropic diffusion”, IEEE Trans. Pattern Anal. Mach. Intell., 1990, 12, (7), pp. 629–639.
J. Kennedy, R.C. Eberhart, et al., “Particle swarm optimization”, In Proceedings of IEEE international conference on neural networks, volume 4, pages 1942–1948. Perth, Australia, 1995.
Y. Shi and R. Eberhart., “A modified particle swarm optimizer”, In Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, pages 69–73. IEEE, 2002.
Dr. G. Padmavathi, Dr. P. Subashini, Mr. M. Muthu Kumar and Suresh Kumar Thakur, “Performance analysis of Non Linear Filtering Algorithms for underwater images”, (IJCSIS) International Journal of Computer Science and Information Security, Vol. 6, No. 2, 2009.
Serge Karabchevsky, David Kahana, Ortal Ben-Harush, and Hugo Guterman, “FPGA-Based Adaptive Speckle Suppression Filter for Underwater Imaging Sonar”, IEEE JOURNAL OF OCEANIC ENGINEERING, VOL. 36, NO. 4, OCTOBER 2011.
Shibin Wu, Qingsong Zhu,Yaoqin Xie, “Evaluation of Various Speckle Reduction Filters on Medical Ultrasound Images,” in Annual International Conference of the IEEE EMBS Osaka, 2013.
Nirmal Singh, Maninder kaur, K.V.P Singh, “Parameter Optimization In Image Enhancement Using PSO”, American Journal of Engineering Research (AJER), vol.2, issue 5, 2013.
Reena Singh, V.K. Srivastava, “Optimization of Gradient Threshold Parameter in Feature Preserving Anisotropic Diffusion forImage Denoising”, International Journal of Innovative Research in Science, Engineering and Technology, vol. 3, issue 2, February 2014.
Bodh Raj, Arun Sharma, Kapil Kapoor, Divya Jyoti, “A Novel approach for the Reduction of Noise”, International Journal of advance, research, Ideas and Innovations in Technology, vol. 2, issue 3, 2016.
Catte, F., Lions, P.L., Morel, J.M., and Coll, T.: “Image selective smoothing and edge detection by nonlinear diffusion”, SIAM J. Numer. Anal., 1992, 29, (1), pp. 182–193.
James C. Church, Yixin Chen, and Stephen V. Rice Department of Computer and Information Science, University of Mississippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, page(s): 618– 623, 2008.
Patidar, Pawan, et al. “Image De-noising by Various Filters for Different Noise”, International Journal of Computer Applications 9.4 (2010): 45–50.
H.C. Li, P.Z. Fan and M.K. Khan, “Context-adaptive anisotropic diffusion for image denoising”, ELECTRONICS LETTRES 5th July 2012 Vol. 48 No. 14.
Rohit Verma, Jahid Ali, “A Comparative Study of Various types of Image Noise and Efficient Noise Removal Techniques,” vol. 3, no 10, pp. 617–622, 2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jeelani, A., Veena, M.B. (2018). Hybridization of PSO and Anisotropic Diffusion in Denoising the Images. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_47
Download citation
DOI: https://doi.org/10.1007/978-981-10-7329-8_47
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7328-1
Online ISBN: 978-981-10-7329-8
eBook Packages: EngineeringEngineering (R0)