Enhancing The Resolution Of Imaging Systems By Spatial Spectrum Manipulation
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| Release | : 2019 |
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Abstract : Much research effort has been spent in the 21st century on superresolution imaging techniques, methods which can beat the diffraction limit. Subwavelength composite structures called ``metamaterials" had initially shown great promise in superresolution imaging applications in the early 2000s, owing to their potential for nearly arbitrary capabilities in controlling light. However, for optical frequencies they are often plagued by absorption and scattering losses which can decay or destroy their interesting properties. Similar issues limit the application of other superresolution devices operating as effective media, or metal films that can transfer waves with large momentum by supporting surface plasmon polaritons. In this dissertation, new methods of mitigating the loss of object information in lossy and noisy optical imaging systems are presented. The result is an improvement in the upper bound on lateral spatial resolution. A concentration is placed on metamaterial and plasmonic imaging systems, and the same methods are subsequently adapted to more conventional far-field imaging systems. First, through numerical simulation it is shown that a lossy metamaterial lens has degraded imaging performance which can be partially compensated by deconvolution post-processing of the resultant image. This post-processing procedure is then shown to emulate a physical process called plasmon injection, which has been previously implemented to effectively remove the losses in a plasmonic metamaterial. Next, a more realistic scenario is considered; a thin film of silver acting as a near-field plasmonic ``superlens." In this case, methods are implemented to model incoherent light propagation so that the image can be reconstructed using only intensity data, removing the need for phase measurement. The same procedure from above is followed, and the resolution is enhanced. To push the resolution further, a spatial filtering method called active convolved illumination is developed to overcome the resolution limit set by the noise floor of the system. Finally, the spatial filtering methods are applied to more a more conventional far-field imaging system. Supported by experiment, the lateral resolution of a low numerical aperture imaging system is improved by blocking photons at the Fourier plane. For coherent light, a diffractive superlens is designed which uses the same principles from the above theory, except it encodes the high spatial frequency waves into propagating waves via a diffraction grating. The result is lateral resolution performance that surpasses similar previously published devices by 10 nm at a wavelength more than 80 nm longer.
| Author | : Peyman Milanfar |
| Publisher | : CRC Press |
| Total Pages | : 521 |
| Release | : 2017-12-19 |
| Genre | : Computers |
| ISBN | : 135183388X |
With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "killer app." The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industry, providing a base of understanding for future progress. Features downloadable tools to supplement material found in the book Recent advances in camera sensor technology have led to an increasingly larger number of pixels being crammed into ever-smaller spaces. This has resulted in an overall decline in the visual quality of recorded content, necessitating improvement of images through the use of post-processing. Providing a snapshot of the cutting edge in super-resolution imaging, this book focuses on methods and techniques to improve images and video beyond the capabilities of the sensors that acquired them. It covers: History and future directions of super-resolution imaging Locally adaptive processing methods versus globally optimal methods Modern techniques for motion estimation How to integrate robustness Bayesian statistical approaches Learning-based methods Applications in remote sensing and medicine Practical implementations and commercial products based on super-resolution The book concludes by concentrating on multidisciplinary applications of super-resolution for a variety of fields. It covers a wide range of super-resolution imaging implementation techniques, including variational, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. This versatile book can be used as the basis for short courses for engineers and scientists, or as part of graduate-level courses in image processing.
| Author | : Zeev Zalevsky |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 114 |
| Release | : 2011-09-08 |
| Genre | : Science |
| ISBN | : 1461408334 |
In this brief we review several approaches that provide super resolved imaging, overcoming the geometrical limitation of the detector as well as the diffraction effects set by the F number of the imaging lens. In order to obtain the super resolved enhancement, we use spatially non-uniform and/or random transmission structures to encode the image or the aperture planes. The desired resolution enhanced images are obtained by post-processing decoding of the captured data.
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| Total Pages | : 702 |
| Release | : 1995 |
| Genre | : Aeronautics |
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| Total Pages | : 118 |
| Release | : 1990 |
| Genre | : Research |
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| Author | : Francesco S. Pavone |
| Publisher | : John Wiley & Sons |
| Total Pages | : 229 |
| Release | : 2011-07-28 |
| Genre | : Science |
| ISBN | : 3527632255 |
Here, the editor has gathered a team of international experts to present the latest advances in the field of laser imaging and manipulation techniques. The result is broad coverage of the interactions with biological samples to perform novel optical manipulation operations, both on the cellular and tissue levels. Of interest to physicists working and researching laser tissue mechanisms, cell biologists investigating new imaging and manipulation operation on the cellular level, medical doctors working with new laser therapies and diagnostic tools, as well as engineers developing new technologies in the field of optics and lasers.
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| Release | : 2014 |
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| Author | : Prasad S. Thenkabail |
| Publisher | : CRC Press |
| Total Pages | : 449 |
| Release | : 2018-12-07 |
| Genre | : Technology & Engineering |
| ISBN | : 1351673297 |
Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. This book also presents and discusses hyperspectral narrowband data acquired in numerous unique spectral bands in the entire length of the spectrum from various ground-based, airborne, and spaceborne platforms. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume I through the editors’ perspective. Key Features of Volume I: Provides the fundamentals of hyperspectral remote sensing used in agricultural crops and vegetation studies. Discusses the latest advances in hyperspectral remote sensing of ecosystems and croplands. Develops online hyperspectral libraries, proximal sensing and phenotyping for understanding, modeling, mapping, and monitoring crop and vegetation traits. Implements reflectance spectroscopy of soils and vegetation. Enumerates hyperspectral data mining and data processing methods, approaches, and machine learning algorithms. Explores methods and approaches for data mining and overcoming data redundancy; Highlights the advanced methods for hyperspectral data processing steps by developing or implementing appropriate algorithms and coding the same for processing on a cloud computing platform like the Google Earth Engine. Integrates hyperspectral with other data, such as the LiDAR data, in the study of vegetation. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.
| Author | : Bing Chen |
| Publisher | : |
| Total Pages | : |
| Release | : 2010 |
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The main focus of this dissertation is to develop a multispectral imaging system with spectral zooming capability and also successfully demonstrate its promising medical applications through combining this technique with microscope system. The realization of the multispectral imaging method in this dissertation is based on the 4-f spatial filtering principle. When a collimated light is dispersed by the grating, there exists a clear linear distribution spectral line or spectrum at the Fourier plane of the Fourier transform lens group base on the Abbe imaging theory and optics Fourier Transform principle. The optical images, not the collimated light, are applied into this setup and the spectrum distribution still keeps linear relationship with the spatial positions at Fourier plane, even through there exists additional spectral crosstalk or overlap. The spatial filter or dynamic electrical filters used at the Fourier plane will facilitate randomly access the desired spectral waveband and agilely adjust the passband width. It offers the multispectral imaging functionality with spectral zooming capability. The system is flexible and efficiency. A dual-channel spectral imaging system based on the multispectral imaging method and acousto-optical tunable filter (AOTF) is proposed in the dissertation. The multispectral imaging method and the AOTF will form spate imaging channels and the two spectral channels work together to enhance the system efficiency. The AOTF retro reflection design is explored in the dissertation and experimental results demonstrate this design could effectively improve the spectral resolution of the passband. Moreover, a field lens is introduced into the multispectral imaging system to enhance the field of view of the system detection range. The application of field lens also improves the system spectral resolution, image quality and minimizes the system size. This spectral imaging system can be used for many applications. The compact prototype multispectral imaging system has been built and many outdoor remote spectral imaging tests have been performed. The spectral imaging design has also been successfully applied into microscope imaging. The prototype multispectral microscopy system shows excellent capability for normal optical detection of medical specimen and fluorescent emission imaging/diagnosis. Experiment results have demonstrated this design could realize both spectral zoom and optical zoom at the same time. This design facilitates fast spectral waveband adjustment as well as increasing speed, flexibility, and reduced cost.
| Author | : Stewart C. Bushong |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 614 |
| Release | : 2020-12-02 |
| Genre | : Medical |
| ISBN | : 0323790291 |
**Selected for Doody's Core Titles® 2024 with "Essential Purchase" designation in Radiologic Technology** Develop the skills you need to produce diagnostic-quality medical images! Radiologic Science for Technologists: Physics, Biology, and Protection, 12th Edition provides a solid foundation in the concepts of medical imaging and digital radiography. Featuring hundreds of radiographs and illustrations, this comprehensive text helps you make informed decisions regarding technical factors, image quality, and radiation safety for both patients and providers. New to this edition are all-digital images and the latest radiation protection standards and units of measurement. Written by noted educator Stewart Carlyle Bushong, this text will prepare you for success on the ARRT® certification exam and in imaging practice. - Broad coverage of radiologic science topics includes radiologic physics, imaging, radiobiology, and radiation protection, with special topics including mammography, fluoroscopy, spiral computed tomography, and cardiovascular interventional procedures. - Objectives, outlines, chapter introductions, and summaries organize information and emphasize the most important concepts in every chapter. - Formulas, conversion tables, and abbreviations provide a quick reference for frequently used information, and math equations are always followed by sample problems with direct clinical application. - Key terms are bolded and defined at first mention in the text, with each bolded term included in the expanded glossary. - Math formulas are highlighted in special shaded boxes for quick reference. - Penguin icons in shaded boxes represent important facts or bits of information that must be learned to understand the subject. - End-of-chapter questions help students review the material with definition exercises, short-answer questions, and calculations. - Student workbook reinforces understanding with worksheets that complement the content covered in the text. Available separately. - NEW! Updated content reflects the newest curriculum standards outlined by the ARRT® and ASRT. - NEW! All images are digital, following current radiology practice. - NEW! Updated radiation protection standards and units of measurement are incorporated throughout the text. - NEW! Streamlined physics and math sections focus on the essential content to ensure student technologists are prepared to take the ARRT® exam and have the background needed to perform well in the clinical environment. - NEW! Increased alignment of chapter objectives with the ASRT core curriculum helps students focus on need-to-know content in preparation for the Registry exam and for clinical success.
