Digital Image Enhancement And Reconstruction

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Digital Image Enhancement and Reconstruction

Digital Image Enhancement and Reconstruction
  • Author : Shyam Singh Rajput,Nafis Uddin Khan,Amit Kumar Singh,Karm Veer Arya
  • Publisher : Academic Press
  • Release Date : 2022-10-06
  • Total pages : 380
  • ISBN : 9780323985789
  • File Size : 37,7 Mb
  • Total Download : 921
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Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications. Presents comprehensive coverage of digital image enhancement and reconstruction techniques Explores applications across range of fields, including intelligent surveillance systems, human-computer interaction, healthcare, agriculture, biometrics, modelling Explores different challenges and issues related to the implementation of various techniques for different types of images, including denoising, dehazing, super-resolution, and use of soft computing

Digital Image Processing Techniques

Digital Image Processing Techniques
  • Author : Michael P. Ekstrom
  • Publisher : Academic Press
  • Release Date : 2012-12-02
  • Total pages : 372
  • ISBN : 9780323140164
  • File Size : 34,5 Mb
  • Total Download : 486
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Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

Digital Holography and Digital Image Processing

Digital Holography and Digital Image Processing
  • Author : Leonid Yaroslavsky
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-14
  • Total pages : 584
  • ISBN : 9781475749885
  • File Size : 44,5 Mb
  • Total Download : 511
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Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.

Medical Image Processing, Reconstruction and Restoration

Medical Image Processing, Reconstruction and Restoration
  • Author : Jiri Jan
  • Publisher : CRC Press
  • Release Date : 2005-11-02
  • Total pages : 755
  • ISBN : 9781420030679
  • File Size : 54,6 Mb
  • Total Download : 250
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It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an

Medical Image Processing, Reconstruction and Analysis

Medical Image Processing, Reconstruction and Analysis
  • Author : Jiri Jan
  • Publisher : CRC Press
  • Release Date : 2019-09-05
  • Total pages : 574
  • ISBN : 9781351387903
  • File Size : 49,9 Mb
  • Total Download : 928
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Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data

Handbook of Image and Video Processing

Handbook of Image and Video Processing
  • Author : Alan Conrad Bovik
  • Publisher : Unknown
  • Release Date : 2000
  • Total pages : 891
  • ISBN : 0121197905
  • File Size : 32,7 Mb
  • Total Download : 759
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The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital video, telecommunications, and World Wide Web industries. Handbook of Image and Video Processing will also serve as a textbook for courses such as digital image processing, digital image analysis, digital video, video communications, multimedia, and biomedical image processing in the departments of electrical and computer engineering and computer science. * No other resource contains the same breadth of up-to-date coverage * Contains over 100 example algorithm illustrations * Contains a series of extremely accessible tutorial chapters * Indispensible for researchers in telecommunications, internet applications, multimedia, and nearly every branch of science

Digital Image Processing with Application to Digital Cinema

Digital Image Processing with Application to Digital Cinema
  • Author : KS Thyagarajan
  • Publisher : Taylor & Francis
  • Release Date : 2005-12-19
  • Total pages : 464
  • ISBN : 9781136034893
  • File Size : 49,7 Mb
  • Total Download : 609
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With crystal clarity, this book conveys the most current principles in digital image processing, providing both the background theory and the practical applications to various industries, such as digital cinema, video compression, and streaming media.

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
  • Author : Arcangelo Distante,Cosimo Distante
  • Publisher : Springer Nature
  • Release Date : 2020-05-28
  • Total pages : 491
  • ISBN : 9783030381486
  • File Size : 11,7 Mb
  • Total Download : 722
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Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Computer Image Processing and Recognition

Computer Image Processing and Recognition
  • Author : Ernest Hall
  • Publisher : Elsevier
  • Release Date : 1979-01-01
  • Total pages : 604
  • ISBN : 9780323144803
  • File Size : 36,7 Mb
  • Total Download : 979
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Computer Image Processing and Recognition

Iterative-Interpolation Super-Resolution Image Reconstruction

Iterative-Interpolation Super-Resolution Image Reconstruction
  • Author : Vivek Bannore
  • Publisher : Springer
  • Release Date : 2009-03-21
  • Total pages : 113
  • ISBN : 9783642003851
  • File Size : 33,9 Mb
  • Total Download : 744
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To my wife, Mitu - Vivek Bannore Preface Preface In many imaging systems, under-sampling and aliasing occurs frequently leading to degradation of image quality. Due to the limited number of sensors available on the digital cameras, the quality of images captured is also limited. Factors such as optical or atmospheric blur and sensor noise can also contribute further to the d- radation of image quality. Super-Resolution is an image reconstruction technique that enhances a sequence of low-resolution images or video frames by increasing the spatial resolution of the images. Each of these low-resolution images contain only incomplete scene information and are geometrically warped, aliased, and - der-sampled. Super-resolution technique intelligently fuses the incomplete scene information from several consecutive low-resolution frames to reconstruct a hi- resolution representation of the original scene. In the last decade, with the advent of new technologies in both civil and mi- tary domain, more computer vision applications are being developed with a demand for high-quality high-resolution images. In fact, the demand for high- resolution images is exponentially increasing and the camera manufacturing te- nology is unable to cope up due to cost efficiency and other practical reasons.

Medical Image Processing, Reconstruction and Restoration

Medical Image Processing, Reconstruction and Restoration
  • Author : Jiri Jan
  • Publisher : CRC Press
  • Release Date : 2005-11-02
  • Total pages : 760
  • ISBN : 0824758498
  • File Size : 45,8 Mb
  • Total Download : 153
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It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation, as well as a thorough explanation of the techniques involved, particularly those found in medical image processing, would be an invaluable resource to have. Medical Image Processing, Reconstruction and Restoration: Concepts and Methods is that resource. It not only explains the general principles and methods of image processing, but also focuses on recent applications specific to medical imaging – providing a theoretical yet clear explanation of underlying generic concepts. The content of this book is divided into three parts: Part I, Images as Multidimensional Signals, provides the introduction to basic image processing theory, explaining it for both analogue and digital image representation. Part II, Imaging Systems as Data Sources, offers an alternative view on imaging modalities, with emphasis placed on analyzing internal signals and (pre)image data that are consequently processed. Part III, Image Processing and Analysis, focuses on such vital image processing topics as tomographic image reconstruction, image fusion, methods of image enhancement, and image restoration techniques. This section also explains concepts of fundamental-level image analysis – detailing local feature analysis, image segmentation, and generalized morphological transforms. It also addresses what is needed within the image processing environment by noting necessary hardware and software and processes for image archiving and communications.

Fundamentals of Digital Image Processing

Fundamentals of Digital Image Processing
  • Author : Anil K. Jain
  • Publisher : Pearson
  • Release Date : 1989
  • Total pages : 600
  • ISBN : UOM:39015035246696
  • File Size : 19,6 Mb
  • Total Download : 751
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Two-Dimensional Systems and Mathematical Preliminaries - Image Perception - Image Sampling and Quantization - Image Transforms - Image Representation by Stochastic Models - Image Enhancement - Image Filtering and Restoration - Image Analysis and Computer Vision - Image Reconstruction From Projections - Image Data Compression.

Advances in Imaging and Electron Physics

Advances in Imaging and Electron Physics
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 1996-12-02
  • Total pages : 420
  • ISBN : 0080577636
  • File Size : 10,8 Mb
  • Total Download : 645
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Advances in Imaging and Electron Physics merges two long-running serials--Advances in Electronics and Electron Physics and Advances in Optical & Electron Microscopy. It features extended articles onthe physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

Image Processing

Image Processing
  • Author : Tinku Acharya,Ajoy K. Ray
  • Publisher : Wiley-Interscience
  • Release Date : 2005-09-08
  • Total pages : 460
  • ISBN : UOM:39015062631596
  • File Size : 49,9 Mb
  • Total Download : 132
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Image processing—from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: Image transformation techniques, including wavelet transformation and developments Image enhancement and restoration, including noise modeling and filtering Segmentation schemes, and classification and recognition of objects Texture and shape analysis techniques Fuzzy set theoretical approaches in image processing, neural networks, etc. Content-based image retrieval and image mining Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification Remotely sensed images and their applications Principles and applications of dynamic scene analysis and moving object detection and tracking Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.

Digital Image Processing

Digital Image Processing
  • Author : William K. Pratt
  • Publisher : Wiley-Interscience
  • Release Date : 2001-09-11
  • Total pages : 782
  • ISBN : STANFORD:36105110184871
  • File Size : 39,6 Mb
  • Total Download : 270
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CD-ROM includes: PIKS (Programmers's Imaging Kernel System) application program interface (API) - core version.

Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020

Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020
  • Author : Khalid Isa,Zainah Md. Zain,Rosmiwati Mohd-Mokhtar,Maziyah Mat Noh,Zool H. Ismail,Ahmad Anas Yusof,Ahmad Faisal Mohamad Ayob,Syed Saad Azhar Ali,Herdawatie Abdul Kadir
  • Publisher : Springer Nature
  • Release Date : 2021-09-24
  • Total pages : 1195
  • ISBN : 9789811624063
  • File Size : 17,8 Mb
  • Total Download : 964
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This book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS’20) held on October 27–28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.

Advances in Information Processing and Protection

Advances in Information Processing and Protection
  • Author : Jerzy Pejas,Khalid Saeed
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-09-29
  • Total pages : 460
  • ISBN : 9780387731377
  • File Size : 34,5 Mb
  • Total Download : 168
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This book contains a selection of the best papers given at an international conference on advanced computer systems. The Advanced Computer Systems Conference was held in October 2006, in Miedzyzdroje, Poland. The book is organized into four topical areas: Artificial Intelligence; Computer Security and Safety; Image Analysis, Graphics and Biometrics; and Computer Simulation and Data Analysis.

Digital Image Processing

Digital Image Processing
  • Author : William K. Pratt
  • Publisher : John Wiley & Sons
  • Release Date : 1978
  • Total pages : 776
  • ISBN : UOM:39015013840635
  • File Size : 24,8 Mb
  • Total Download : 662
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A thoroughly updated edition of a bestselling guide to digital image processing, this book covers cutting-edge techniques for enhancing and interpreting digital images from different sources--scanners, radar systems, and digital cameras. A PIKS image processing library of executable files as well as digital versions of many of the pictures are provided via ftp to help apply the techniques discussed in the book.

Digital Image Processing

Digital Image Processing
  • Author : J M Blackledge
  • Publisher : Elsevier
  • Release Date : 2005-11-30
  • Total pages : 824
  • ISBN : 9780857099464
  • File Size : 16,9 Mb
  • Total Download : 651
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This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems. Case studies reinforce the methods discussed, with examples of current research themes. Provides mathematical methods required to describe images, image formation and different imaging systems Outlines the principle techniques used for processing digital images Relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems

Digital Image Processing and Analysis

Digital Image Processing and Analysis
  • Author : Scott E Umbaugh
  • Publisher : CRC Press
  • Release Date : 2022-12-30
  • Total pages : 489
  • ISBN : 9781000789683
  • File Size : 43,8 Mb
  • Total Download : 483
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Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored. The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments. The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.

Digital Processing of Biomedical Images

Digital Processing of Biomedical Images
  • Author : K. Preston
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 442
  • ISBN : 9781468407693
  • File Size : 43,8 Mb
  • Total Download : 253
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Until recently digital processing of biomedical images was conducted solely in the research laboratories of the universities and industry. However, with the advent of computerized tomography in 1972 and the computerized white blood cell differential count in 1974, enormous changes have suddenly occurred. Digital image pro cessing in biomedicine has now become the most active sector in the digital image processing field. Processing rates have reached the level of one trillion picture elements per year in the United States alone and are expected to be ten trillion per year in 1980. This enormous volume of activity has stimulated further re search in biomedical image processing in the last two years with the result that important inroads have been made in applications in radiology, oncology, and ophthalmology. Although much significant work in this field is taking place in Europe, it is in the United States and Japan that the level of activity is highest.