Diffusion Based Image Enhancement
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Diffusion Based Image Enhancement
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Author : Earl Quong Wong
language : en
Publisher:
Release Date : 2000
Diffusion Based Image Enhancement written by Earl Quong Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Novel Diffusion Based Models For Image Restoration And Interpolation
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Author : Tudor Barbu
language : en
Publisher: Springer
Release Date : 2018-07-02
Novel Diffusion Based Models For Image Restoration And Interpolation written by Tudor Barbu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-02 with Computers categories.
This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art PDE-based image restoration and interpolation (inpainting) techniques, focusing on the latest advances in PDE-based image processing and analysis, and explores novel techniques involving diffusion-based models and variational schemes. The PDE and variational schemes clearly outperform the conventional approaches in these areas, and can successfully remove image noise and reconstruct missing or highly degraded regions, while preserving the essential features and avoiding unintended effects. The book addresses researchers and graduate students, but is also well suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the image processing models described, as well as mathematical treatments for the numerical approximation schemes of these differential models.
Anisotropic Diffusion In Image Processing
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Author : Joachim Weickert
language : de
Publisher:
Release Date : 1998
Anisotropic Diffusion In Image Processing written by Joachim Weickert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Differential equations, Partial categories.
"Many recent techniques for digital image enhancement and multiscale image representations are based on nonlinear partial differential equations. This book gives an introduction to the main ideas behind these methods, and it describes in a systematic way their theoretical foundations, numerical aspects, and applications. A large number of references enables the reader to acquire an up-to-date overview of the original literature. The central emphasis is on anisotropic nonlinear diffusion filters. Their flexibility allows to combine smoothing properties with image enhancement qualities. A general framework is explored covering well-posedness and scale-space results not only for the continuous, but also for the algorithmically important semidiscrete and fully discrete settings. The presented example range from applications in medical image analysis in computer aided quality control."--Back cover.
Anisotropic Diffusion In Image Processing
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Author : J. Weickert
language : en
Publisher:
Release Date : 1996
Anisotropic Diffusion In Image Processing written by J. Weickert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Anisotropic Diffusion In Image Processing
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Author : Joachim Weickert
language : de
Publisher:
Release Date : 1996
Anisotropic Diffusion In Image Processing written by Joachim Weickert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Bildverarbeitung - Partielle Differentialgleichung categories.
Anisotropic Diffusion
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-04-28
Anisotropic Diffusion written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-28 with Computers categories.
What is Anisotropic Diffusion In image processing and computer vision, anisotropic diffusion, also called Perona-Malik diffusion, is a technique aiming at reducing image noise without removing significant parts of the image content, typically edges, lines or other details that are important for the interpretation of the image. Anisotropic diffusion resembles the process that creates a scale space, where an image generates a parameterized family of successively more and more blurred images based on a diffusion process. Each of the resulting images in this family are given as a convolution between the image and a 2D isotropic Gaussian filter, where the width of the filter increases with the parameter. This diffusion process is a linear and space-invariant transformation of the original image. Anisotropic diffusion is a generalization of this diffusion process: it produces a family of parameterized images, but each resulting image is a combination between the original image and a filter that depends on the local content of the original image. As a consequence, anisotropic diffusion is a non-linear and space-variant transformation of the original image. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Anisotropic diffusion Chapter 2: Fick's laws of diffusion Chapter 3: Diffusion equation Chapter 4: Heat equation Chapter 5: Navier-Stokes equations Chapter 6: Total variation Chapter 7: Divergence Chapter 8: Laplace operator Chapter 9: Curl (mathematics) Chapter 10: Divergence theorem (II) Answering the public top questions about anisotropic diffusion. (III) Real world examples for the usage of anisotropic diffusion in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Anisotropic Diffusion.
Examining Fractal Image Processing And Analysis
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Author : Nayak, Soumya Ranjan
language : en
Publisher: IGI Global
Release Date : 2019-10-18
Examining Fractal Image Processing And Analysis written by Nayak, Soumya Ranjan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Computers categories.
Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis. Examining Fractal Image Processing and Analysis is an essential reference source that discusses fractal theory applications and analysis, including box-counting analysis, multi-fractal analysis, 3D fractal analysis, and chaos theory, as well as recent trends in other soft computing techniques. Featuring research on topics such as image compression, pattern matching, and artificial neural networks, this book is ideally designed for system engineers, computer engineers, professionals, academicians, researchers, and students seeking coverage on problem-oriented processing techniques and imaging technologies.
Image Enhancement In A Quantum Environment
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Author :
language : en
Publisher:
Release Date : 2007
Image Enhancement In A Quantum Environment written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
This program investigated the ability to perform image enhancement, based upon diffusion processing, on a purely quantum or hybrid classical-quantum (type-II) computer. Given that image processing based upon solving partial differential equations has become more prevalent and developed in recent years and given that the fundamental equation of non-relativistic quantum mechanics, the Schrodinger equation, may be viewed as diffusion in imaginary time, quantum information may provide practical speedups for image processing tasks. This research investigated which diffusion and related Schrodinger equations may be simulated using quantum lattice gas algorithms (QLGAs), which are attractive because of their ability to simulate non-linear phenomena. Extension of QLGAs to perform selective image smoothing in support of image enhancement has been developed and demonstrated for multi-dimensional as well as anisotropic diffusion algorithms.
Applications Of Nonlinear Diffusion In Image Processing And Computer Vision
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Author : Joachim Weickert
language : en
Publisher:
Release Date : 2000
Applications Of Nonlinear Diffusion In Image Processing And Computer Vision written by Joachim Weickert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Anisotropic Diffusion In Digital Image Processing
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Author : Stephen Colston Luke
language : en
Publisher:
Release Date : 2000
Anisotropic Diffusion In Digital Image Processing written by Stephen Colston Luke and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.