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Diffusion Based Image Enhancement
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Book Synopsis Diffusion Based Image Enhancement by : Earl Quong Wong
Download or read book Diffusion Based Image Enhancement written by Earl Quong Wong and published by . This book was released on 2000 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Novel Diffusion-Based Models for Image Restoration and Interpolation by : Tudor Barbu
Download or read book Novel Diffusion-Based Models for Image Restoration and Interpolation written by Tudor Barbu and published by Springer. This book was released on 2018-07-02 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Anisotropic Diffusion by : Fouad Sabry
Download or read book Anisotropic Diffusion written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-04-28 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Examining Fractal Image Processing and Analysis by : Nayak, Soumya Ranjan
Download or read book Examining Fractal Image Processing and Analysis written by Nayak, Soumya Ranjan and published by IGI Global. This book was released on 2019-10-18 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Anisotropic Diffusion in Image Processing by : Joachim Weickert
Download or read book Anisotropic Diffusion in Image Processing written by Joachim Weickert and published by . This book was released on 1998 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Book Synopsis Anisotropic Diffusion in Image Processing by : J. Weickert
Download or read book Anisotropic Diffusion in Image Processing written by J. Weickert and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Anisotropic Diffusion in Digital Image Processing by : Stephen Colston Luke
Download or read book Anisotropic Diffusion in Digital Image Processing written by Stephen Colston Luke and published by . This book was released on 2000 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Anisotropic Diffusion in Image Processing by : Joachim Weickert
Download or read book Anisotropic Diffusion in Image Processing written by Joachim Weickert and published by . This book was released on 1996 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Nonlinear Diffusion in Image Processing and Computer Vision by : Joachim Weickert
Download or read book Applications of Nonlinear Diffusion in Image Processing and Computer Vision written by Joachim Weickert and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Theoretical Foundations of Computer Vision by : Walter Kropatsch
Download or read book Theoretical Foundations of Computer Vision written by Walter Kropatsch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision is a rapidly growing field of research investigating computational and algorithmic issues associated with image acquisition, processing, and understanding. It serves tasks like manipulation, recognition, mobility, and communication in diverse application areas such as manufacturing, robotics, medicine, security and virtual reality. This volume contains a selection of papers devoted to theoretical foundations of computer vision covering a broad range of fields, e.g. motion analysis, discrete geometry, computational aspects of vision processes, models, morphology, invariance, image compression, 3D reconstruction of shape. Several issues have been identified to be of essential interest to the community: non-linear operators; the transition between continuous to discrete representations; a new calculus of non-orthogonal partially dependent systems.
Book Synopsis Adaptive Nonlocal Filtering by : Bruce Fischl
Download or read book Adaptive Nonlocal Filtering written by Bruce Fischl and published by . This book was released on 1996 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling, Analysis, and Implementation of Finite Difference Schemes for Nonlinear Diffusion with Applications to Image Processing by : Armelle S. Franklin
Download or read book Modeling, Analysis, and Implementation of Finite Difference Schemes for Nonlinear Diffusion with Applications to Image Processing written by Armelle S. Franklin and published by . This book was released on 2013 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis proposes to model, analyze and implement a nonlinear diffusion model problem for reduction in noise and speckle in image processing applications. Specifically, the Perona-Malik model equation that is widely studied in the image processing community is implemented via explicit and implicit finite difference algorithms. The solution methodology converts discrete image data onto a finer non-uniform grid space via interpolation techniques and applies the proposed numerical algorithms to reduce noise. These numerical algorithms are investigated analytically and computationally for appropriate choices of nonlinear diffusion coefficient functions. We derived conditions for stability and convergence of the proposed numerical algorithms. Numerical experiments are presented on benchmark problems that show the robustness and reliability of the proposed numerical schemes.
Book Synopsis Image Enhancement in a Quantum Environment by :
Download or read book Image Enhancement in a Quantum Environment written by and published by . This book was released on 2007 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Learning an Integral Equation Approximation to Nonlinear Anisotropic Diffusion in Image Processing by : Bruce Fischl
Download or read book Learning an Integral Equation Approximation to Nonlinear Anisotropic Diffusion in Image Processing written by Bruce Fischl and published by . This book was released on 1995 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Image Filtering and Restoration Based on Properties of Vision by : Hong Chen
Download or read book Image Filtering and Restoration Based on Properties of Vision written by Hong Chen and published by . This book was released on 1996 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Parameter Adaptation for Nonlinear Diffusion in Image Processing by : Brahim Benhamouda
Download or read book Parameter Adaptation for Nonlinear Diffusion in Image Processing written by Brahim Benhamouda and published by . This book was released on 1994 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Inertial Proximal Algorithms in Diffusion-based Image Compresion by :
Download or read book Inertial Proximal Algorithms in Diffusion-based Image Compresion written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: