Image Denoising
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| Author | : Chi-Wah Kok |
| Publisher | : John Wiley & Sons |
| Total Pages | : 229 |
| Release | : 2024-06-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1119617731 |
Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a variety of techniques with applications in high-quality photo enhancement as well as multi-dimensional signal processing problems such as array signal processing, radar signal estimation and detection, and more. Offering systematic guidance on image denoising in theories and in practice through MATLAB, this hands-on guide includes practical examples, chapter summaries, analytical and programming problems, computer simulations, and source codes for all algorithms discussed in the book. The book explains denoising algorithms including linear and nonlinear filtering, Wiener filtering, spatially adaptive and multi-channel processing, transform and wavelet domains processing, singular value decomposition, and various low variance optimization and low rank processing techniques. Throughout the text, the authors address the theory, analysis, and implementation of the denoising algorithms to help readers solve their image processing problems and develop their own solutions. Explains how the quality of an image can be quantified in MATLAB Discusses what constitutes a “naturally looking” image in subjective and analytical terms Presents denoising techniques for a wide range of digital image processing applications Describes the use of denoising as a pre-processing tool for various signal processing applications or big data analysis Requires only a fundamental knowledge of digital signal processing Includes access to a companion website with source codes, exercises, and additional resources Digital Image Denoising in MATLAB is an excellent textbook for undergraduate courses in digital image processing, recognition, and statistical signal processing, and a highly useful reference for researchers and engineers working with digital images, digital video, and other applications requiring denoising techniques.
| Author | : Vivian Siahaan |
| Publisher | : BALIGE ACADEMY |
| Total Pages | : 395 |
| Release | : 2023-10-27 |
| Genre | : Computers |
| ISBN | : |
In the dynamic landscape of image processing, the pursuit of clarity and precision is unceasing. This book embarks on an exhaustive exploration of image enhancement, focusing on three pivotal domains: denoising, edge detection, and segmentation. These areas collectively form the cornerstone of image refinement, essential in applications ranging from medical diagnostics to artistic expression. The journey commences with a meticulous examination of Denoising Utilities, a multifaceted toolkit tailored for noise reduction. Techniques like wavelet denoising and adaptive filtering are dissected, providing readers with an extensive arsenal for image restoration. The incorporation of precise metrics ensures not only visual improvement but also quantifiable measures of enhancement. Edge Detection Utilities presents an array of algorithms designed to unveil crucial features within images. From the Sobel operator to the Gabor filter, each algorithm brings a unique perspective to the forefront. Beyond mere theoretical exposition, this section offers modified plotting utilities and seamless integration into the Main Program, enabling readers to wield these algorithms effectively. Segmentation Utilities usher readers into the realm of image partitioning, a process of dividing images into coherent regions. Techniques like Multi-Level Thresholding, K-Means Clustering, Watershed Algorithm, and Markov Random Fields (MRF) are explored. The inclusion of user-friendly forms and thoughtfully designed plotting utilities empowers readers to extract invaluable information from complex images. At the heart of this journey lies the Main Form, serving as the epicenter of operations. Its intuitive interface and seamless navigation pave the way for users to access a myriad of utilities, creating a cohesive and immersive experience. This form serves as the gateway to a world of image refinement and analysis. A critical component of image processing lies in visualizing the transformation. Plotting Utilities have been meticulously designed to offer dynamic visual representations of denoised, edge-detected, and segmented images. These tools bridge the gap between theoretical understanding and practical application. Understanding the effectiveness of denoising techniques is imperative. Wavelet Denoising Metrics provide a rigorous framework for quantifying the improvement achieved. These metrics offer insights into the impact of denoising on image quality, ensuring a scientifically grounded approach to enhancement. The efficacy of reaction-diffusion denoising techniques is assessed through specialized metrics. These metrics offer a quantitative assessment of the denoising process, enabling users to fine-tune parameters for optimal results. This section bridges theory with application, ensuring meaningful enhancements. Anisotropic diffusion denoising is evaluated using purpose-built metrics. These metrics provide a systematic evaluation of the denoising process, enabling users to make informed decisions regarding parameter selection. This section empowers users with the knowledge to achieve precise enhancements. The impact of spectral method denoising is quantified through dedicated metrics. These metrics offer a comprehensive assessment of the denoising process, enabling users to refine parameters for maximum effectiveness. This section ensures that enhancements are not only visually pleasing but also scientifically validated. This book, a compendium of practical knowledge and hands-on expertise, serves as a guide for both beginners and seasoned practitioners in the field of image processing. It aims to equip readers with not only an understanding of the intricacies of image enhancement but also the practical skills to wield this knowledge effectively. Through this journey, images cease to be mere representations; they become a source of profound insights, revealing hidden details and empowering users to extract meaningful information. So, let's embark on this illuminating voyage, where theory meets application, and images transform from pixels to a source of enlightenment.
| Author | : Marcelo Bertalmío |
| Publisher | : Springer |
| Total Pages | : 339 |
| Release | : 2018-09-10 |
| Genre | : Computers |
| ISBN | : 3319960296 |
This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert contributors provide their insights into the fundamental challenges that remain in the field of denoising, examining how to properly model noise in real scenarios, how to tailor denoising algorithms to these models, and how to evaluate the results in a way that is consistent with perceived image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical perspectives to state-of-the-art algorithms, and from fast real-time techniques that can be implemented in-camera to powerful and computationally intensive methods for off-line processing. Topics and features: describes the basic methods for the analysis of signal-dependent and correlated noise, and the key concepts underlying sparsity-based image denoising algorithms; reviews the most successful variational approaches for image reconstruction, and introduces convolutional neural network-based denoising methods; provides an overview of the use of Gaussian priors for patch-based image denoising, and examines the potential of internal denoising; discusses selection and estimation strategies for patch-based video denoising, and explores how noise enters the imaging pipeline; surveys the properties of real camera noise, and outlines a fast approximation of nonlocal means filtering; proposes routes to improving denoising results via indirectly denoising a transform of the image, considering the right noise model and taking into account the perceived quality of the outputs. This concise and clearly written volume will be of great value to researchers and professionals working in image processing and computer vision. The book will also serve as an accessible reference for advanced undergraduate and graduate students in computer science, applied mathematics, and related fields. "The relentless quest for higher image resolution, greater ISO sensitivity, faster frame rates and smaller imaging sensors in digital imaging and videography has demanded unprecedented innovation and improvement in noise reduction technologies. This book provides a comprehensive treatment of all aspects of image noise including noise modelling, state of the art noise reduction technologies and visual perception and quantitative evaluation of noise.” Geoff Woolfe, Former President of The Society for Imaging Science and Technology. "This book on denoising of photographic images and video is the most comprehensive and up-to-date account of this deep and classic problem of image processing. The progress on its solution is being spectacular. This volume therefore is a must read for all engineers and researchers concerned with image and video quality." Jean-Michel Morel, Professor at Ecole Normale Supérieure de Cachan, France.
| Author | : Aurélio Campilho |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1146 |
| Release | : 2008-06-16 |
| Genre | : Computers |
| ISBN | : 3540698116 |
Non-linear image processing -- Color photo denoising via hue, saturation and intensity diffusion / Lei He and Chenyang Xu -- Examining the role of scale in the context of the non-local-means filter / Mehran Ebrahimi and Edward R. Vrscay -- Geometrical mutliscale noise resistant method of edge detection / Agnieszka Lisowska -- A simple, general model for the affine self-similarity of images / SImon K. Alexander, Edward R. Vrscay, and Satoshi Tsurumi -- Image and video coding and encryption -- Efficient bit-rate estimation for mode decision of H. 264 / AVC / Shuwei Sun and Shuming Chen -- Introducing a two dimensional measure for watermarking capacity in images / Farzin Yaghmaee and Mansour Jamzad -- Estimating the detectability of small lesions in high resolution MR compressed images / Juan Paz, Marlen Pérez, Iroel Miranda, and Peter Schelkens -- JPEG artifact removal using error distributions of linear coefficient estimates / Mika Inki --
| Author | : Xiaofeng Yang |
| Publisher | : CRC Press |
| Total Pages | : 318 |
| Release | : 2024-02-06 |
| Genre | : Medical |
| ISBN | : 1000900770 |
Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties. The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.
| Author | : Sergio Escalera |
| Publisher | : Springer Nature |
| Total Pages | : 144 |
| Release | : 2019-10-16 |
| Genre | : Computers |
| ISBN | : 3030256146 |
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.
| Author | : J. K. Mandal |
| Publisher | : Springer Nature |
| Total Pages | : 180 |
| Release | : 2020-06-08 |
| Genre | : Technology & Engineering |
| ISBN | : 9811542880 |
This book features a collection of extended versions of papers presented at OPTRONIX 2019, held at the University of Engineering & Management, Kolkata, India, on 18 – 20, March 2019. It includes research on the detection of skin disease, breast tumors, lung cancer and rotten fruit based on intelligent image processing applications, intelligent computing, neuro-fuzzy applications, soil moisture prediction, intelligent encryption and authentication, as well as image analysis and image analytics.
| Author | : Michael Elad |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 376 |
| Release | : 2010-08-12 |
| Genre | : Mathematics |
| ISBN | : 1441970118 |
A long long time ago, echoing philosophical and aesthetic principles that existed since antiquity, William of Ockham enounced the principle of parsimony, better known today as Ockham’s razor: “Entities should not be multiplied without neces sity. ” This principle enabled scientists to select the ”best” physical laws and theories to explain the workings of the Universe and continued to guide scienti?c research, leadingtobeautifulresultsliketheminimaldescriptionlength approachtostatistical inference and the related Kolmogorov complexity approach to pattern recognition. However, notions of complexity and description length are subjective concepts anddependonthelanguage“spoken”whenpresentingideasandresults. The?eldof sparse representations, that recently underwent a Big Bang like expansion, explic itly deals with the Yin Yang interplay between the parsimony of descriptions and the “language” or “dictionary” used in them, and it became an extremely exciting area of investigation. It already yielded a rich crop of mathematically pleasing, deep and beautiful results that quickly translated into a wealth of practical engineering applications. You are holding in your hands the ?rst guide book to Sparseland, and I am sure you’ll ?nd in it both familiar and new landscapes to see and admire, as well as ex cellent pointers that will help you ?nd further valuable treasures. Enjoy the journey to Sparseland! Haifa, Israel, December 2009 Alfred M. Bruckstein vii Preface This book was originally written to serve as the material for an advanced one semester (fourteen 2 hour lectures) graduate course for engineering students at the Technion, Israel.
| Author | : Alvaro Pardo |
| Publisher | : Springer |
| Total Pages | : 795 |
| Release | : 2015-10-24 |
| Genre | : Computers |
| ISBN | : 331925751X |
This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.
| Author | : Chwee Teck Lim |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 2355 |
| Release | : 2009-03-15 |
| Genre | : Technology & Engineering |
| ISBN | : 3540928413 |
th On behalf of the organizing committee of the 13 International Conference on Biomedical Engineering, I extend our w- mest welcome to you. This series of conference began in 1983 and is jointly organized by the YLL School of Medicine and Faculty of Engineering of the National University of Singapore and the Biomedical Engineering Society (Singapore). First of all, I want to thank Mr Lim Chuan Poh, Chairman A*STAR who kindly agreed to be our Guest of Honour to give th the Opening Address amidst his busy schedule. I am delighted to report that the 13 ICBME has more than 600 participants from 40 countries. We have received very high quality papers and inevitably we had to turndown some papers. We have invited very prominent speakers and each one is an authority in their field of expertise. I am grateful to each one of them for setting aside their valuable time to participate in this conference. For the first time, the Biomedical Engineering Society (USA) will be sponsoring two symposia, ie “Drug Delivery S- tems” and “Systems Biology and Computational Bioengineering”. I am thankful to Prof Tom Skalak for his leadership in this initiative. I would also like to acknowledge the contribution of Prof Takami Yamaguchi for organizing the NUS-Tohoku’s Global COE workshop within this conference. Thanks also to Prof Fritz Bodem for organizing the symposium, “Space Flight Bioengineering”. This year’s conference proceedings will be published by Springer as an IFMBE Proceedings Series.
