Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
New Assessment Methods in Passive MMW/THz Imaging Systems
by
Ünal, A.
in
Algorithms
/ Background noise
/ Banded structure
/ Classical Electrodynamics
/ Cost effectiveness
/ Electrical Engineering
/ Electronics and Microelectronics
/ Engineering
/ Image contrast
/ Image enhancement
/ Image processing
/ Image quality
/ Image reconstruction
/ Infrared imagery
/ Infrared imaging
/ Infrared imaging systems
/ Instrumentation
/ Millimeter waves
/ Passive imaging
/ Signal quality
/ Signal to noise ratio
/ System effectiveness
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
New Assessment Methods in Passive MMW/THz Imaging Systems
by
Ünal, A.
in
Algorithms
/ Background noise
/ Banded structure
/ Classical Electrodynamics
/ Cost effectiveness
/ Electrical Engineering
/ Electronics and Microelectronics
/ Engineering
/ Image contrast
/ Image enhancement
/ Image processing
/ Image quality
/ Image reconstruction
/ Infrared imagery
/ Infrared imaging
/ Infrared imaging systems
/ Instrumentation
/ Millimeter waves
/ Passive imaging
/ Signal quality
/ Signal to noise ratio
/ System effectiveness
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
New Assessment Methods in Passive MMW/THz Imaging Systems
by
Ünal, A.
in
Algorithms
/ Background noise
/ Banded structure
/ Classical Electrodynamics
/ Cost effectiveness
/ Electrical Engineering
/ Electronics and Microelectronics
/ Engineering
/ Image contrast
/ Image enhancement
/ Image processing
/ Image quality
/ Image reconstruction
/ Infrared imagery
/ Infrared imaging
/ Infrared imaging systems
/ Instrumentation
/ Millimeter waves
/ Passive imaging
/ Signal quality
/ Signal to noise ratio
/ System effectiveness
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
New Assessment Methods in Passive MMW/THz Imaging Systems
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Passive millimeter-wave (MMW) and TeraHertz (THz) imaging systems have become increasingly popular in recent years due to their cost-effectiveness and non-invasive characteristics compared to active systems, prompting a surge in research interest. Evaluating the quality of reconstructed images used in these systems is essential for revealing the fine details. General image quality metrics such as the structural similarity index (SSIM) and the peak signal-to-noise ratio (PSNR) require a reference image in order to compare the reconstructed image. However, there is a notable gap in the literature regarding the evaluation of reconstruction or deconvolution algorithms with a reference image in the passive MMW/THz bands. This study proposes a reference image generation technique for passive MMW/THz imaging systems using an infrared imaging system that shares a similar physical background. Then, passive MMW/THz images were evaluated using the reference images at varying target distances and spatial resolutions. Besides these, the assessment of passive MMW/THz images with the SSIM and PSNR metrics after the reconstruction algorithms were performed. The metrics SSIM and PSNR, are inadequate in the evaluation of reconstruction algorithms alone in terms of concealed object (CO) detection. Because of this reason, the contrast level (CL) method was proposed to address the application-based shortcomings of PSNR and SSIM metrics. Hence, the image quality metric, CL, indicates that the Richardson–Lucy (RL) algorithm yielded superior results in variable optical configurations and target distances with the aid of CL metric. Finally, contrast enhancement techniques were developed in order to increase the contrast level of the CO. As a result, the introduction of these novel methods—the reference image generation technique using an infrared imaging system in passive MMW/THz bands, the evaluation of the reconstructed images with the application-based CL metric, and contrast enhancement techniques for single-band or multi-band imaging methods—holds the potential for the development of innovative techniques. These advancements may contribute to the creation of new applications within the passive MMW/THz bands, particularly focusing on the improvement of detection methods in the future.
Publisher
Springer US,Springer Nature B.V
Subject
This website uses cookies to ensure you get the best experience on our website.