Image Enhancement by Digital Signal Processing
| Author | : Athanasios Roussos |
| Publisher | : |
| Total Pages | : 206 |
| Release | : 1984 |
| Genre | : Image processing |
| ISBN | : |
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Image Enhancement By Digital Signal Processing
Download Image Enhancement By Digital Signal Processing full books in PDF, epub, and Kindle. Read online free Image Enhancement By Digital Signal Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Digital Image Processing
| Author | : D. Sundararajan |
| Publisher | : Springer |
| Total Pages | : 475 |
| Release | : 2017-10-12 |
| Genre | : Computers |
| ISBN | : 9811061130 |
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Digital Image Enhancement and Reconstruction
| Author | : Shyam Singh Rajput |
| Publisher | : Academic Press |
| Total Pages | : 380 |
| Release | : 2022-10-06 |
| Genre | : Computers |
| ISBN | : 0323985785 |
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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 Signal Processing for Medical Imaging Using Matlab
| Author | : E.S. Gopi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 116 |
| Release | : 2012-09-13 |
| Genre | : Technology & Engineering |
| ISBN | : 1461431409 |
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This book describes medical imaging systems, such as X-ray, Computed tomography, MRI, etc. from the point of view of digital signal processing. Readers will see techniques applied to medical imaging such as Radon transformation, image reconstruction, image rendering, image enhancement and restoration, and more. This book also outlines the physics behind medical imaging required to understand the techniques being described. The presentation is designed to be accessible to beginners who are doing research in DSP for medical imaging. Matlab programs and illustrations are used wherever possible to reinforce the concepts being discussed.
Digital Signal Processing
| Author | : Li Tan |
| Publisher | : Academic Press |
| Total Pages | : 893 |
| Release | : 2013-01-21 |
| Genre | : Computers |
| ISBN | : 0124159826 |
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Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers. The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC. New to this edition: MATLAB projects dealing with practical applications added throughout the book New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals All real-time C programs revised for the TMS320C6713 DSK Covers DSP principles with emphasis on communications and control applications Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems Website with MATLAB programs for simulation and C programs for real-time DSP
Signal Processing and Image Processing for Acoustical Imaging
| Author | : Woon Siong Gan |
| Publisher | : Springer |
| Total Pages | : 83 |
| Release | : 2020-04-04 |
| Genre | : Technology & Engineering |
| ISBN | : 9789811055492 |
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This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved – the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution – before introducing readers to higher-order statistics, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal processing. The book then details the design of digital filters and array signal processing, and lastly examines applications in image processing: image enhancement and optimization, image restoration, and image compression.
Signal Processing and Performance Analysis for Imaging Systems
| Author | : |
| Publisher | : |
| Total Pages | : 345 |
| Release | : 2018-05 |
| Genre | : |
| ISBN | : 9781642241693 |
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Image enhancement is an important procedure of image processing and analysis as one of the most important techniques in image research. The key objective of image enhancement is to boost the quality and visual manifestation of an image, or to furnish a better transform depiction for future automated image processing. Many images like medical images, satellite, aerial images and also real life photographs suffer from poor and bad contrast and noise. It is crucial to augment the contrast and remove the noise to increase image quality. One of the most significant stages in medical images detection and analysis is Image Enhancement Techniques. It advances the clarity of images for human viewing, removing blurring and noise, escalating contrast, and illuminating details. Signal Processing and Performance Analysis for Imaging Systems covers theoretical, experimental and applied aspects of the engineering design of signal and imaging systems, with emphasis on signal generation and image formation mechanisms, transmission, sensing, analysis and processing, and post-processing algorithms. It provides State-of-the-art systems analysis; design, integration, evaluation, standardization, and the development of algorithms evaluated towards building such systems are the journal's primary focus. The visual quality of the most recorded images is often brought down in the course of digital image acquisition because of some factors such as uneven illumination, the noise produced in the transmission, and D/A transformation. As a consequence, image quality usually needs to be improved before image analysis; image enhancement is an elementary step in digital image processing and analysis. The book enables specialists get the most out of current imaging systems and make the best hardware/software decisions in budding the next-generation image acquisition and analysis competence their work needs. Practitioners will discover today's most advanced techniques for single image reconstruction, super-resolution image reconstruction, image deblur and restoration, and contrast enhancement.
Guide to Signals and Patterns in Image Processing
| Author | : Apurba Das |
| Publisher | : Springer |
| Total Pages | : 430 |
| Release | : 2015-04-22 |
| Genre | : Computers |
| ISBN | : 3319141724 |
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This text reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of worked-out numerical problems is also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain; reviews compression methods and formats for encoding images; discusses morphology-based image processing; investigates the modeling of object recognition in the human visual system; provides supplementary material, including MATLAB and C++ code, and interactive GUI-based modules, at an associated website.
Image Processing for Remote Sensing
| Author | : C.H. Chen |
| Publisher | : CRC Press |
| Total Pages | : 400 |
| Release | : 2007-10-17 |
| Genre | : Technology & Engineering |
| ISBN | : 9781420066647 |
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Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for improved classification with the remote sensing data, Wiener filter-based method, and other modern approaches and methods of image processing for remotely sensed data. Each chapter explores a technique for dealing with a specific remote sensing problem. The book offers physical insights on the steps for constructing various digital seismic images. The volume examines image modeling, statistical image classifiers, change detection, independent component analysis, vertex component analysis, image fusion for better classification. It explores unique topics such as accuracy assessment and information-theoretic measure of multiband images and many chapters emphasize issues with synthetic aperture radar (SAR) images. Continued development on imaging sensors creates new opportunities and challenges in image processing for remote sensing. Image Processing for Remote Sensing not only presents the most up to date developments of image processing for remote sensing but also suggests to readers the many challenging problems ahead for further study.
Digital Image Processing Techniques
| Author | : Michael P. Ekstrom |
| Publisher | : Academic Press |
| Total Pages | : 389 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0323140165 |
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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.
