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Noise Removal With Filtering Techniques

Noise Removal With Filtering Techniques
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Author(s): Vijayakumari B. (Mepco Schlenk Engineering College, India)
Copyright: 2021
Pages: 24
Source title: Advancements in Security and Privacy Initiatives for Multimedia Images
Source Author(s)/Editor(s): Ashwani Kumar (Vardhaman College of Engineering, India) and Seelam Sai Satyanarayana Reddy (Vardhaman College of Engineering, India)
DOI: 10.4018/978-1-7998-2795-5.ch006

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Abstract

An overview of the image noise models and the de-noising techniques available are presented here. Basically, filtering is one of the de-noising approaches that is normally performed in both spatial and frequency domains. Thus, this chapter focuses on these two approaches. Few filters like mean, median, sharpening, and adaptive median filter are discussed under spatial domain. In the frequency domain, as Butterworth filter suits better for images, Butterworth low pass, high pass, and band pass filters along with homomorphic filters are also analyzed. It also provides a comparative analysis of these approaches for both synthetic and medical images with some performance measures.

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