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Inpainting and Denoising Challenges

applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges;

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Inpainting and Denoising Challenges

applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting. Inpainting and Denoising Challenges;

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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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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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Partial Differential Equation Methods for Image Inpainting

information provided by intact parts. Computer graphic designers, artists and photographers have long used manual inpainting to restore damaged;

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Deflectometry and Image Denoising

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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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PCG Signal Denoising and Selection Optimal Level and Order

Met opdracht en handtekening van Tanneke Wigersma;...

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Image Denoising Using Wavelet Transforms

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Signal Denoising Techniques for Radar Target Detection

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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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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve;

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Pattern Recognition

, in September 2014. The 58 revised full papers and 8 short papers were carefully reviewed and selected from 153 submissions. The papers are organized;

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Image Understanding Using Sparse Representations

Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an;

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Variational Methods

With a focus on the interplay between mathematics and applications of imaging, the first part covers topics from optimization, inverse;

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Lung Sounds

Lung sounds auscultation is often the first noninvasive resource for detection and discrimination of respiratory pathologies available to;

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Statistical Methods for Materials Science

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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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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Patch-Based Techniques in Medical Imaging

volume were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on multi-atlas segmentation;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;

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Scale Space and Variational Methods in Computer Vision

This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer;

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Advanced Image and Video Processing Using MATLAB

This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining;

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Modeling Nanoscale Imaging in Electron Microscopy

of scanning transmission electron microscopes (STEM), these mathematical models can replace some labor intensive procedures used to operate and;

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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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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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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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