Fast and Efficient Filter Using Wavelet Threshold for Removal of Gaussian Noise from MRI/CT Scanned Medical Images/Color Video Sequence

Abstract

We proposed an optimum de-noising filter using wavelet threshold for the removal of adaptive white Gaussian noise from degraded medical images/colour video sequence based on system noise calculation. The performance of the proposed Gaussian de-noising technique is compared with various de-noising techniques such as Bayesian least squares-Gaussian scale mixtures, bilateral filter, adaptive bilateral filter, multi-resolution bilateral filter, nonlocal-Means, wavelet threshold based filters, and kernel-based method. The proposed methods have comparable/superior performance and less computational time compared to other techniques.

KEYWORDS:

• Adaptive bilateral filter
• Gaussian filter
• System noise
• Visual image fidelity
• Wavelet threshold

Additional information

Notes on contributors

G. Elaiyaraja

G Elaiyaraja is currently working as a professor in the Department of Electronics and Communication Engineering, VEMU Institute of Technology, P Kothakota, Chittoor, Andhra Pradesh, India since 2018. He received his bachelor's degree from University of Madras, Adhiyamaan of College of Engineering, Hosur in 1999 and master degree from College of Engineering, Guindy, Anna University Chennai in 2004. He received his PhD degree in electronics and communication engineering from Anna University, Chennai, Tamilnadu, India. He has 17 years of teaching experience. His research interest is digital image processing, nonlinear filters, and digital signal processing. Corresponding author. Email: [email protected]

N. Kumaratharan

N Kumaratharan is currently working as a professor in the Department of ECE, Sri Venkateswara College of Engineering, Sriperumbudur, Tamilnadu, India. He received his bachelor's degree from the University of Madras in 2001 and master's degree from the College of Engineering, Guindy, in 2004. He received his PhD degree in electronics and communication engineering from Pondicherry University in 2010. His research interest includes wireless sensor networks, wireless and broadband communication, digital signal processing and digital image processing. He has published several papers in international journals and international conferences. He is also a member of review committees for many national and international journals.

T. Chandra Sekhar Rao

Tekuru Chandra Sekhar Rao is currently working as a principal at VEMU Institute of Technology, P Kothakota, Chittoor, Andhra Pradesh, India since 2018. He obtained his PhD in ECE from S V University, Tirupati in November 2017, and ME in communication systems at PDA College of Engineering, Gulbarga from Gulbarga University in April 2001. He obtained his BE in ECE at SLN College of Engineering, Raichur from Gulbarga University in June 1995. In academics, he has 17 publications in referred international/national Journals. He has totally 19 years of teaching experience. His research interests are advanced digital image processing, VLSI signal processing and wireless communication