Feature Extraction-based Medical Image Watermarking Using Fuzzy-based Median Filter

Abstract

In recent days, securing the clinical images with high-level attacks is still a great challenge. The proposed algorithm focuses on developing an algorithm, which starts with pre-processing clinical image by Switched Mode Fuzzy Median Filter (SMFMF) for extracting the noise affected pixel thereby replacing the noisy pixel with the value of median pixel. Clinical image features, such as colour, shape, and texture, are extracted for selecting appropriate region to watermark, which increases the process of watermarking and decreases the algorithm’s computational time. At watermark, calculating the key component can increase the security level and source clinical image singular values and singular values of watermark images are modified to review the robustness of clinical image. At the watermark extraction point, watermark validation for permanent checks is achieved via the logistic map technique to unravel the watermark. The peak noise signal ratio (PSNR) and normalized cross correlation values (NCC) measure the clinical image’s multi-target wellness predictions. In addition to watermarking validation, the proposed algorithm offers improved clinical strength and protection.

KEYWORDS:

• Feature extraction
• Key component
• Median filter
• Medical image
• Watermarking
• Wavelet

Additional information

Notes on contributors

K. Balasamy

K Balasamy received the BTech degree in information technology engineering in 2006 from the Anna University, Chennai, and the ME degree in computer science and engineering in 2009 from the Anna University of Technology, Coimbatore. He is assistant professor in the Department of Information Technology, Dr Mahalingam College of Engineering and Technology, Pollachi, India. He is the Life Member of ISTE. His areas of interest include database management, image processing and cloud computing. Email: [email protected]

D. Shamia

D Shamia is working as associate professor in Electronics and Communication Engineering Department at VSB College of Engineering Technical Campus at Coimbatore. She completed her PhD in Karunya University in 2019 in the field of image processing. She has a teaching experience of about 5 years. Her areas of interest include image and face recognition, medical image analysis and embedded systems. Email: [email protected]