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What is Denoising

Computational Techniques for Dental Image Analysis
Denoising is a signal processing method that extract signal from a mixture of signal and noise thus preserving the useful information.
Published in Chapter:
Digital Image Enhancement Techniques for Dental Radiographs: A Support to Clinicians
E. Priya (Sri Sairam Engineering College, India)
Copyright: © 2019 |Pages: 39
DOI: 10.4018/978-1-5225-6243-6.ch001
Abstract
Dental radiographs suffer frequently from issues such as low contrast and non-uniform illumination. The first step, indeed a significant step, is to enhance these digital images to prepare them for successful post-processing. This pre-processing stage assists to increase the contrast between the foreground that is the teeth and bone from the background regions. In this chapter, image enhancement methods based on spatial, frequency, and spatial-frequency are implemented. The dental radiographs used are available in the public database. The performance of the enhancement methods is validated using qualitative and quantitative measures. It is observed from the results that the enhancement method aids in improving dental features such as crowns, fillings, and bridges. This enables human identification and diagnostic purpose in the way it is possible to identify a variety of diseases. It also prevents the need for a remake, saving the patient from an additional treatment.
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More Results
Enhancement of Recorded Respiratory Sound Using Signal Processing Techniques
Denoising is any signal processing method which reconstruct a signal from a noisy one. Its goal is to remove noise and preserve useful information.
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A Novel Approach of K-SVD-Based Algorithm for Image Denoising
A way of noise reduction method or it is any signal processing approach that reconstructs a signal from a noisy one.
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Heart Sound Data Acquisition and Preprocessing Techniques: A Review
It is a generic term for a process that removes noise and preserve useful information.
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