Inpainting And Denoising Challenges

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Inpainting and Denoising Challenges

Author : Sergio Escalera
Publisher : Springer Nature
ISBN 13 : 3030256146
Total Pages : 144 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Inpainting and Denoising Challenges by : Sergio Escalera

Download or read book Inpainting and Denoising Challenges written by Sergio Escalera and published by Springer Nature. This book was released on 2019-10-16 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration. This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapters present results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.

Mathematical Approaches to Color Denoising and Image Inpainting Problems

Author : Sung Ha Kang
Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (515 download)

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Book Synopsis Mathematical Approaches to Color Denoising and Image Inpainting Problems by : Sung Ha Kang

Download or read book Mathematical Approaches to Color Denoising and Image Inpainting Problems written by Sung Ha Kang and published by . This book was released on 2002 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Denoising And Inpainting Of Images

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (656 download)

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Book Synopsis Denoising And Inpainting Of Images by :

Download or read book Denoising And Inpainting Of Images written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Many scientific data sets are contaminated by noise, either because of data acquisition process, or because of naturally occurring phenomena. A first step in analyzing such data sets is denoising, i.e., removing additive noise from a noisy image. For images, noise suppression is a delicate and a difficult task. A trade of between noise reduction and the preservation of actual image features has to be made in a way that enhances the relevant image content. The beginning chapter in this thesis is introductory in nature and discusses the Popular denoising techniques in spatial and frequency domains. Wavelet transform has wide applications in image processing especially in denoising of images. Wavelet systems are a set of building blocks that represent a signal in an expansion set involving indices for time and scale. These systems allow the multi-resolution representation of signals. Several well known denoising algorithms exist in wavelet domain which penalize the noisy coefficients by threshold them. We discuss the wavelet transform based denoising of images using bit planes. This approach preserves the edges in an image. The proposed approach relies on the fact that wavelet transform allows the denoising strategy to adapt itself according to directional features of coefficients in respective sub-bands. Further, issues related to low complexity implementation of this algorithm are discussed. The proposed approach has been tested on different sets images under different noise intensities. Studies have shown that this approach provides a significant reduction in normalized mean square error (NMSE). The denoised images are visually pleasing. Many of the image compression techniques still use the redundancy reduction property of the discrete cosine transform (DCT). So, the development of a denoising algorithm in DCT domain has a practical significance. In chapter 3, a DCT based denoising algorithm is presented. In general, the design of filters largely depends on the a-p.

Advances in Electronics, Communication and Computing

Author : Akhtar Kalam
Publisher : Springer
ISBN 13 : 9811047650
Total Pages : 808 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advances in Electronics, Communication and Computing by : Akhtar Kalam

Download or read book Advances in Electronics, Communication and Computing written by Akhtar Kalam and published by Springer. This book was released on 2017-10-27 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.

Pattern Recognition

Author : Karina Mariela Figueroa Mora
Publisher : Springer Nature
ISBN 13 : 3030490769
Total Pages : 348 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Pattern Recognition by : Karina Mariela Figueroa Mora

Download or read book Pattern Recognition written by Karina Mariela Figueroa Mora and published by Springer Nature. This book was released on 2020-06-17 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th Mexican Conference on Pattern Recognition, MCPR 2020, which was due to be held in Morelia, Mexico, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 31 papers presented in this volume were carefully reviewed and selected from 67 submissions. They were organized in the following topical sections: pattern recognition techniques; image processing and analysis; computer vision; industrial and medical applications of pattern recognition; natural language processing and recognition; artificial intelligence techniques and recognition.

Variational Image Segmentation, Inpainting and Denoising

Author : Zhi Li
Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (975 download)

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Book Synopsis Variational Image Segmentation, Inpainting and Denoising by : Zhi Li

Download or read book Variational Image Segmentation, Inpainting and Denoising written by Zhi Li and published by . This book was released on 2016 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: Variational methods have attracted much attention in the past decade. With rigorous mathematical analysis and computational methods, variational minimization models can handle many practical problems arising in image processing, such as image segmentation and image restoration. We propose a two-stage image segmentation approach for color images, in the first stage, the primal-dual algorithm is applied to efficiently solve the proposed minimization problem for a smoothed image solution without irrelevant and trivial information, then in the second stage, we adopt the hillclimbing procedure to segment the smoothed image. For multiplicative noise removal, we employ a difference of convex algorithm to solve the non-convex AA model. And we also improve the non-local total variation model. More precisely, we add an extra term to impose regularity to the graph formed by the weights between pixels. Thin structures can benefit from this regularization term, because it allows to adapt the weights value from the global point of view, thus thin features will not be overlooked like in the conventional non-local models. Since now the non-local total variation term has two variables, the image u and weights v, and it is concave with respect to v, the proximal alternating linearized minimization algorithm is naturally applied with variable metrics to solve the non-convex model efficiently. In the meantime, the efficiency of the proposed approaches is demonstrated on problems including image segmentation, image inpainting and image denoising.

High-Dimensional Data Analysis with Low-Dimensional Models

Author : John Wright
Publisher : Cambridge University Press
ISBN 13 : 1108489737
Total Pages : 717 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis High-Dimensional Data Analysis with Low-Dimensional Models by : John Wright

Download or read book High-Dimensional Data Analysis with Low-Dimensional Models written by John Wright and published by Cambridge University Press. This book was released on 2022-01-13 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

Data-driven Models in Inverse Problems

Author : Tatiana A. Bubba
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111251292
Total Pages : 664 pages
Book Rating : 4.1/5 (112 download)

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Book Synopsis Data-driven Models in Inverse Problems by : Tatiana A. Bubba

Download or read book Data-driven Models in Inverse Problems written by Tatiana A. Bubba and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-11-18 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in learning-based methods are revolutionizing several fields in applied mathematics, including inverse problems, resulting in a major paradigm shift towards data-driven approaches. This volume, which is inspired by this cutting-edge area of research, brings together contributors from the inverse problem community and shows how to successfully combine model- and data-driven approaches to gain insight into practical and theoretical issues.

Advances in Imaging and Electron Physics

Author :
Publisher : Academic Press
ISBN 13 : 0080951562
Total Pages : 375 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Advances in Imaging and Electron Physics by :

Download or read book Advances in Imaging and Electron Physics written by and published by Academic Press. This book was released on 2009-06-16 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Imaging and Electron Physics merges two long-running serials--Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. This series features extended articles on the 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. Updated with contributions from leading international scholars and industry experts Discusses hot topic areas and presents current and future research trends Invaluable reference and guide for physicists, engineers and mathematicians

Hands-On Image Processing with Python

Author : Sandipan Dey
Publisher : Packt Publishing Ltd
ISBN 13 : 178934185X
Total Pages : 483 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Hands-On Image Processing with Python by : Sandipan Dey

Download or read book Hands-On Image Processing with Python written by Sandipan Dey and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key FeaturesPractical coverage of every image processing task with popular Python librariesIncludes topics such as pseudo-coloring, noise smoothing, computing image descriptorsCovers popular machine learning and deep learning techniques for complex image processing tasksBook Description Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python. The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing. By the end of this book, we will have learned to implement various algorithms for efficient image processing. What you will learnPerform basic data pre-processing tasks such as image denoising and spatial filtering in PythonImplement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in PythonDo morphological image processing and segment images with different algorithmsLearn techniques to extract features from images and match imagesWrite Python code to implement supervised / unsupervised machine learning algorithms for image processingUse deep learning models for image classification, segmentation, object detection and style transferWho this book is for This book is for Computer Vision Engineers, and machine learning developers who are good with Python programming and want to explore details and complexities of image processing. No prior knowledge of the image processing techniques is expected.

Non-Smooth and Complementarity-Based Distributed Parameter Systems

Author : Michael Hintermüller
Publisher : Springer Nature
ISBN 13 : 3030793931
Total Pages : 518 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Non-Smooth and Complementarity-Based Distributed Parameter Systems by : Michael Hintermüller

Download or read book Non-Smooth and Complementarity-Based Distributed Parameter Systems written by Michael Hintermüller and published by Springer Nature. This book was released on 2022-02-18 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many of the most challenging problems in the applied sciences involve non-differentiable structures as well as partial differential operators, thus leading to non-smooth distributed parameter systems. This edited volume aims to establish a theoretical and numerical foundation and develop new algorithmic paradigms for the treatment of non-smooth phenomena and associated parameter influences. Other goals include the realization and further advancement of these concepts in the context of robust and hierarchical optimization, partial differential games, and nonlinear partial differential complementarity problems, as well as their validation in the context of complex applications. Areas for which applications are considered include optimal control of multiphase fluids and of superconductors, image processing, thermoforming, and the formation of rivers and networks. Chapters are written by leading researchers and present results obtained in the first funding phase of the DFG Special Priority Program on Nonsmooth and Complementarity Based Distributed Parameter Systems: Simulation and Hierarchical Optimization that ran from 2016 to 2019.

Novel Diffusion-Based Models for Image Restoration and Interpolation

Author : Tudor Barbu
Publisher : Springer
ISBN 13 : 3319930060
Total Pages : 134 pages
Book Rating : 4.3/5 (199 download)

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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.

Focus on Bio-Image Informatics

Author : Winnok H. De Vos
Publisher : Springer
ISBN 13 : 3319285491
Total Pages : 277 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Focus on Bio-Image Informatics by : Winnok H. De Vos

Download or read book Focus on Bio-Image Informatics written by Winnok H. De Vos and published by Springer. This book was released on 2016-05-20 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances Anatomy Embryology and Cell Biology focuses on the emerging field of bio-image informatics, presenting novel and exciting ways of handling and interpreting large image data sets. A collection of focused reviews written by key players in the field highlights the major directions and provides an excellent reference work for both young and experienced researchers.

Image Processing and Analysis

Author : Tony F. Chan
Publisher : SIAM
ISBN 13 : 9780898717877
Total Pages : 421 pages
Book Rating : 4.7/5 (178 download)

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Book Synopsis Image Processing and Analysis by : Tony F. Chan

Download or read book Image Processing and Analysis written by Tony F. Chan and published by SIAM. This book was released on 2005-01-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: At no other time in human history have the influence and impact of image processing on modern society, science, and technology been so explosive. Image processing has become a critical component in contemporary science and technology and has many important applications. This book develops the mathematical foundation of modern image processing and low-level computer vision, and presents a general framework from the analysis of image structures and patterns to their processing. The core mathematical and computational ingredients of several important image processing tasks are investigated. The book bridges contemporary mathematics with state-of-the-art methodologies in modern image processing while organizing the vast contemporary literature into a coherent and logical structure.

Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems

Author : Chuan He
Publisher : Springer Nature
ISBN 13 : 9819937507
Total Pages : 208 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems by : Chuan He

Download or read book Parallel Operator Splitting Algorithms with Application to Imaging Inverse Problems written by Chuan He and published by Springer Nature. This book was released on 2023-08-28 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image denoising, image deblurring, image inpainting, super-resolution, and compressed sensing reconstruction have important application value in engineering practice, and they are also the hot frontiers in the field of image processing. This book focuses on the numerical analysis of ill condition of imaging inverse problems and the methods of solving imaging inverse problems based on operator splitting. Both algorithmic theory and numerical experiments have been addressed. The book is divided into six chapters, including preparatory knowledge, ill-condition numerical analysis and regularization method of imaging inverse problems, adaptive regularization parameter estimation, and parallel solution methods of imaging inverse problem based on operator splitting. Although the research methods in this book take image denoising, deblurring, inpainting, and compressed sensing reconstruction as examples, they can also be extended to image processing problems such as image segmentation, hyperspectral decomposition, and image compression. This book can benefit teachers and graduate students in colleges and universities, or be used as a reference for self-study or further study of image processing technology engineers.

Computer Vision -- ECCV 2014

Author : David Fleet
Publisher : Springer
ISBN 13 : 3319105930
Total Pages : 871 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet

Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-08-14 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Energy Minimization Methods in Computer Vision and Pattern Recognition

Author : Daniel Cremers
Publisher : Springer Science & Business Media
ISBN 13 : 3642036406
Total Pages : 502 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Energy Minimization Methods in Computer Vision and Pattern Recognition by : Daniel Cremers

Download or read book Energy Minimization Methods in Computer Vision and Pattern Recognition written by Daniel Cremers and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2009, held in Bonn, Germany in August 2009. The 18 revised full papers, 18 poster papers and 3 keynote lectures presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on discrete optimization and Markov random fields, partial differential equations, segmentation and tracking, shape optimization and registration, inpainting and image denoising, color and texture and statistics and learning.