Noise Reduction: Methods, Applications and Technology


Marc Farrow (Editor)

Series: Acoustics Research and Technology
BISAC: TEC066000

In Noise Reduction: Methods, Applications and Technology, the authors open with an overview of image denoising approaches. The review covers additive and multiplicative noise reduction methods in the spatial, frequency and wavelet domains, as well as their applications. Finally, experimental qualitative and quantitative evaluations on synthetic and real images corrupted by noise of different distributions are presented and discussed. Then next chapter begins with introduction to multiple camera systems: their usage, structure, hardware and applications. Some examples of existing systems are be presented along with quantitative comparison of parameters like: sensor resolution, technology, frame rate, shutter-related features, need and means for temporal synchronization. Next, optical phase induced interference noise (PIIN) in a sensor network is reduced by using optical phase modulation in both a SCOS and a fiber Bragg grating (FBG), and strain induced noise on the optical fiber sensor is reduced using a differential sensor setup called a push-pull SCOS. Phase modulation and differentiation are then combined to allow for simultaneous noise reduction from different noise sources and allow for optical sensing of electric fields in harsh environments. Additionally, the signal processing approaches that exploit the spatial and temporal-spectral characteristics of the flaw echo and noise for enhanced defect detection and noise reduction in ultrasonic NDE are presented. Results from simulation studies and experiments on the real industrial samples are presented to evaluate the techniques, and demonstrate their robustness and advantages over the classical methods. Lastly, the authors show how Riga City Municipality has managed to fulfil the main goal of the ‘Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise’ – to reduce the number of environmental noise affected people in Riga agglomeration.



Table of Contents


Chapter 1. Denoising of Digital Images: Methods and Applications
(Adib Akl and Charles Yaacoub, Faculty of Engineering, Holy Spirit University of Kaslik (USEK), Jounieh, Lebanon)

Chapter 2. Noise in Multiview Videos
(Olgierd Stankiewicz, Chair of Multimedia Telecommunications and Microelectronics, Poznan University of Technology, Poznañ, Poland)

Chapter 3. Noise Reduction Techniques in Fiber Optic Sensors
(Frederick Seng, Nikola Stan, Rex King, and Stephen Schultz, Department of Electrical and Computer Engineering, Brigham Young University, Provo, Utah, US)

Chapter 4. Noise Reduction in Ultrasonic Non-Destructive Evaluation (NDE) and Imaging
(Minghui Li and Gordon Hayward, School of Engineering, University of Glasgow, Glasgow, Scotland, UK, and others)

Chapter 5. The Evaluation of an Action Plan for Reduction of Environmental Noise in Riga Agglomeration
(Janis I.Dundurs, PhD and Miervaldis Lacis, PhD, Department of Occupational and Environmental Medicine, Riga Stradins University, Riga, Latvia, and others)


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