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Deflectometry and Image Denoising

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Denoising of Photographic Images and Video

This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert;

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Inpainting and Denoising Challenges

The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent;

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Inpainting and Denoising Challenges

The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent;

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Image Denoising Using Wavelet Transforms

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Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote;

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Patch-Based Techniques in Medical Imaging

carefully reviewed and selected from 25 submissions. The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the;

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Level Set and PDE Based Reconstruction Methods in Imaging: Cetraro, Italy 2008, Editors

This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the;

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Novel Diffusion-Based Models for Image Restoration and Interpolation

This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art;

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Novel Diffusion-Based Models for Image Restoration and Interpolation

This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art;

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Low-Rank Models in Visual Analysis

Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their;

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Hands-On Image Processing with Python

Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. Key Features Practical;

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Image Processing with MATLAB

Image Processing with MATLAB (R): Applications in Medicine and Biology explains complex, theory-laden topics in image processing through;

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Image Processing and Analysis with Graphs

Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects;

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Wavelet Analysis

This book could be divided into two parts i.e. fundamental wavelet transform theory and method and some important applications of wavelet;

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Recent Trends in Signal and Image Processing

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by;

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A Primer on Wavelets and Their Scientific Applications

of his bestselling primer. Updated and fully revised to include the latest developments, this second edition of A Primer on Wavelets and Their;

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Simulation and Synthesis in Medical Imaging

This book constitutes the refereed proceedings of the First International Workshop on Simulation and Synthesis in Medical Imaging, held;

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A Primer on Wavelets and Their Scientific Applications

of his bestselling primer. Updated and fully revised to include the latest developments, this second edition of A Primer on Wavelets and Their;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

and Electricals - Digital signal processing, language: English, abstract: Audio signals are more frequently polluted with various types;

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Iris Image Recognition

This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image;

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PCG Signal Denoising and Selection Optimal Level and Order

Met opdracht en handtekening van Tanneke Wigersma;...

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Advanced Digital Imaging Laboratory Using MATLAB (R)

mastering practical skills. In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace;

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Mathematical Methods in Computer Vision

issues include image smoothing and denoising, image enhancement, morphology, image compression, and segmentation (determining boundaries;

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Sparse Image and Signal Processing

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such;

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