Denoising of Photographic Images and Video

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Publisher : Springer
ISBN 13 : 3319960296
Total Pages : 339 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Denoising of Photographic Images and Video by : Marcelo Bertalmío

Download or read book Denoising of Photographic Images and Video written by Marcelo Bertalmío and published by Springer. This book was released on 2018-09-10 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Several Approaches to Improve Noise Removal in Photographic Images

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Author :
Publisher :
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Several Approaches to Improve Noise Removal in Photographic Images by : Gabriela Ghimpeteanu

Download or read book Several Approaches to Improve Noise Removal in Photographic Images written by Gabriela Ghimpeteanu and published by . This book was released on 2017 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noise acquisition is an unavoidable component when capturing photographs, even in the case of current state of the art cameras. This problem is even accentuated when the lighting conditions are not ideal. Therefore, removing the noise present in the captured image is still an essential task in the camera image processing pipeline. In this thesis, we analyze several approaches to improve current image denoising meth- ods. First, we propose a general framework that can improve a denoising method, moti- vated by a simple principle: for any algorithm, the smaller the noise level, the higher the quality of the denoised image. Therefore, by carefully choosing an image decomposition of the noisy image into less noisy one(s) and applying the algorithm on the latter, the performance of any denoising method can increase. Second, we accentuate the importance of using a realistic noise model for testing any denoising methods, as in the usual AWG scenario the results can be extremely di erent. The noise model can be estimated on RAW images, as the camera processing pipeline alters the noise, and denoising becomes a challenge when applied on camera output. We show how a local method applied on RAW can outperform a non-local one applied on camera output, in the realistic noise scenario. Finally, in this thesis we propose a fast, local denoising method where the Euclidean curvature of the noisy image is approximated in a regularizing manner and a clean image is reconstructed from this smoothed curvature. User preference tests show that when denoising real photographs with actual noise our method produces results with the same visual quality as the more sophisticated, non-local algorithms, but at a fraction of their computational cost. These tests also highlight the limitations of objective image quality metrics like PSNR and SSIM, which correlate poorly with user preference.

Digital Image Denoising in MATLAB

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Publisher : John Wiley & Sons
ISBN 13 : 1119617693
Total Pages : 229 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Digital Image Denoising in MATLAB by : Chi-Wah Kok

Download or read book Digital Image Denoising in MATLAB written by Chi-Wah Kok and published by John Wiley & Sons. This book was released on 2024-08-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Essential Guide to Image Processing

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Publisher : Academic Press
ISBN 13 : 0080922511
Total Pages : 877 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis The Essential Guide to Image Processing by : Alan C. Bovik

Download or read book The Essential Guide to Image Processing written by Alan C. Bovik and published by Academic Press. This book was released on 2009-07-08 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000

Image and Video Processing for Denoising, Coding, and Content Protection

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (818 download)

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Book Synopsis Image and Video Processing for Denoising, Coding, and Content Protection by : Qian Chen

Download or read book Image and Video Processing for Denoising, Coding, and Content Protection written by Qian Chen and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the first part, we propose a novel transform-domain based image denoising approach. It groups similar 2D fragments of image block into 3D data arrays to enhance the sparse representation of the signal in transform domain, so that the noise can be well separated by shrinking the coefficients. The proposed bounded BM3D turns out to be particularly effective for highly noisy images.

Computer Vision – ECCV 2020

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Publisher : Springer Nature
ISBN 13 : 3030585956
Total Pages : 830 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi

Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-20 with total page 830 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Inpainting and Denoising Challenges

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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.

Digital Photography for Next to Nothing

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Publisher : John Wiley & Sons
ISBN 13 : 0470687266
Total Pages : 385 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Digital Photography for Next to Nothing by : John Lewell

Download or read book Digital Photography for Next to Nothing written by John Lewell and published by John Wiley & Sons. This book was released on 2010-07-13 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take photos like a pro without breaking the bank by using FREE and nearly FREE software and hardware explained in this book. Get professional looking shots from a low-cost camera Save money by building your own lighting rigs, tripods, monopods and stabilisers for next to nothing Learn how to use older lenses on modern digital cameras, and make your own macro lens, lens hoods, flash diffusers, flash concentrators, decorative Bokeh effect lenses and more Use dozens of FREE and low cost photo applications for processing, viewing, cataloguing, editing, creating HDR, and photo stitching Build powerful photography processing and editing suites with free software and plugins that go head to head with expensive tools like Adobe Photoshop and Lightroom

Advances in Computer Vision

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Publisher : Springer
ISBN 13 : 3030177955
Total Pages : 821 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Computer Vision by : Kohei Arai

Download or read book Advances in Computer Vision written by Kohei Arai and published by Springer. This book was released on 2019-04-23 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.

Handbook of Image and Video Processing

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Publisher : Academic Press
ISBN 13 : 0080533612
Total Pages : 1429 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Handbook of Image and Video Processing by : Alan C. Bovik

Download or read book Handbook of Image and Video Processing written by Alan C. Bovik and published by Academic Press. This book was released on 2010-07-21 with total page 1429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 55% new material in the latest edition of this “must-have for students and practitioners of image & video processing! This Handbook is intended to serve as the basic reference point on image and video processing, in the field, in the research laboratory, and in the classroom. Each chapter has been written by carefully selected, distinguished experts specializing in that topic and carefully reviewed by the Editor, Al Bovik, ensuring that the greatest depth of understanding be communicated to the reader. Coverage includes introductory, intermediate and advanced topics and as such, this book serves equally well as classroom textbook as reference resource. • Provides practicing engineers and students with a highly accessible resource for learning and using image/video processing theory and algorithms • Includes a new chapter on image processing education, which should prove invaluable for those developing or modifying their curricula • Covers the various image and video processing standards that exist and are emerging, driving today’s explosive industry • Offers an understanding of what images are, how they are modeled, and gives an introduction to how they are perceived • Introduces the necessary, practical background to allow engineering students to acquire and process their own digital image or video data • Culminates with a diverse set of applications chapters, covered in sufficient depth to serve as extensible models to the reader’s own potential applications About the Editor... Al Bovik is the Cullen Trust for Higher Education Endowed Professor at The University of Texas at Austin, where he is the Director of the Laboratory for Image and Video Engineering (LIVE). He has published over 400 technical articles in the general area of image and video processing and holds two U.S. patents. Dr. Bovik was Distinguished Lecturer of the IEEE Signal Processing Society (2000), received the IEEE Signal Processing Society Meritorious Service Award (1998), the IEEE Third Millennium Medal (2000), and twice was a two-time Honorable Mention winner of the international Pattern Recognition Society Award. He is a Fellow of the IEEE, was Editor-in-Chief, of the IEEE Transactions on Image Processing (1996-2002), has served on and continues to serve on many other professional boards and panels, and was the Founding General Chairman of the IEEE International Conference on Image Processing which was held in Austin, Texas in 1994. * No other resource for image and video processing contains the same breadth of up-to-date coverage * Each chapter written by one or several of the top experts working in that area * Includes all essential mathematics, techniques, and algorithms for every type of image and video processing used by electrical engineers, computer scientists, internet developers, bioengineers, and scientists in various, image-intensive disciplines

Computational Photography

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Publisher : CRC Press
ISBN 13 : 1439817502
Total Pages : 564 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Computational Photography by : Rastislav Lukac

Download or read book Computational Photography written by Rastislav Lukac and published by CRC Press. This book was released on 2017-12-19 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software. Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book: Describes single capture image fusion technology for consumer digital cameras Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images Presents machine-learning methods for automatic image colorization and digital face beautification Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

Digital Image and Video Denoising in Multimedia Applications

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Publisher :
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4.:/5 (842 download)

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Book Synopsis Digital Image and Video Denoising in Multimedia Applications by : Jingjing Dai

Download or read book Digital Image and Video Denoising in Multimedia Applications written by Jingjing Dai and published by . This book was released on 2012 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Data-driven Computing and Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9819909813
Total Pages : 892 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Advances in Data-driven Computing and Intelligent Systems by : Swagatam Das

Download or read book Advances in Data-driven Computing and Intelligent Systems written by Swagatam Das and published by Springer Nature. This book was released on 2023-06-21 with total page 892 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.

Advanced Concepts for Intelligent Vision Systems

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Publisher : Springer
ISBN 13 : 3642176917
Total Pages : 397 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advanced Concepts for Intelligent Vision Systems by : Jacques Blanc-Talon

Download or read book Advanced Concepts for Intelligent Vision Systems written by Jacques Blanc-Talon and published by Springer. This book was released on 2010-12-06 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, held in Changchun, China, in August 2010. The 78 revised full papers presented were carefully reviewed and selected from 144 submissions. The papers are organized in topical sections on image processing and analysis; segmentation and edge detection; 3D and depth; algorithms and optimizations; video processing; surveillance and camera networks; machine vision; remote sensing; and recognition, classification and tracking.

Digital Video Concepts, Methods, and Metrics

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Publisher : Apress
ISBN 13 : 1430267135
Total Pages : 359 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Digital Video Concepts, Methods, and Metrics by : Shahriar Akramullah

Download or read book Digital Video Concepts, Methods, and Metrics written by Shahriar Akramullah and published by Apress. This book was released on 2014-11-05 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding, so that readers have sufficient understanding to choose and tune coding parameters for optimum results that would suit their particular needs for quality, compression, speed and power. The practical aspects are many: Uploading video to the Internet is only the beginning of a trend where a consumer controls video quality and speed by trading off various other factors. Open source and proprietary applications such as video e-mail, private party content generation, editing and archiving, and cloud asset management would give further control to the end-user. Digital video is frequently compressed and coded for easier storage and transmission. This process involves visual quality loss due to typical data compression techniques and requires use of high performance computing systems. A careful balance between the amount of compression, the visual quality loss and the coding speed is necessary to keep the total system cost down, while delivering a good user experience for various video applications. At the same time, power consumption optimizations are also essential to get the job done on inexpensive consumer platforms. Trade-offs can be made among these factors, and relevant considerations are particularly important in resource-constrained low power devices. To better understand the trade-offs this book discusses a comprehensive set of engineering principles, strategies, methods and metrics. It also exposes readers to approaches on how to differentiate and rank video coding solutions.

Computational Photography

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Publisher : Linköping University Electronic Press
ISBN 13 : 9179299059
Total Pages : 122 pages
Book Rating : 4.1/5 (792 download)

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Book Synopsis Computational Photography by : Saghi Hajisharif

Download or read book Computational Photography written by Saghi Hajisharif and published by Linköping University Electronic Press. This book was released on 2020-02-18 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction and recent advancements of computational photography have revolutionized the imaging industry. Computational photography is a combination of imaging techniques at the intersection of various fields such as optics, computer vision, and computer graphics. These methods enhance the capabilities of traditional digital photography by applying computational techniques both during and after the capturing process. This thesis targets two major subjects in this field: High Dynamic Range (HDR) image reconstruction and Light Field (LF) compressive capturing, compression, and real-time rendering. The first part of the thesis focuses on the HDR images that concurrently contain detailed information from the very dark shadows to the brightest areas in the scenes. One of the main contributions presented in this thesis is the development of a unified reconstruction algorithm for spatially variant exposures in a single image. This method is based on a camera noise model, and it simultaneously resamples, reconstructs, denoises, and demosaics the image while extending its dynamic range. Furthermore, the HDR reconstruction algorithm is extended to adapt to the local features of the image, as well as the noise statistics, to preserve the high-frequency edges during reconstruction. In the second part of this thesis, the research focus shifts to the acquisition, encoding, reconstruction, and rendering of light field images and videos in a real-time setting. Unlike traditional integral photography, a light field captures the information of the dynamic environment from all angles, all points in space, and all spectral wavelength and time. This thesis employs sparse representation to provide an end-to-end solution to the problem of encoding, real-time reconstruction, and rendering of high dimensional light field video data sets. These solutions are applied on various types of data sets, such as light fields captured with multi-camera systems or hand-held cameras equipped with micro-lens arrays, and spherical light fields. Finally, sparse representation of light fields was utilized for developing a single sensor light field video camera equipped with a color-coded mask. A new compressive sensing model is presented that is suitable for dynamic scenes with temporal coherency and is capable of reconstructing high-resolution light field videos.

Micro-Electronics and Telecommunication Engineering

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Publisher : Springer Nature
ISBN 13 : 9819995620
Total Pages : 813 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Micro-Electronics and Telecommunication Engineering by : Devendra Kumar Sharma

Download or read book Micro-Electronics and Telecommunication Engineering written by Devendra Kumar Sharma and published by Springer Nature. This book was released on 2024 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: The book presents high-quality papers from the Seventh International Conference on Microelectronics and Telecommunication Engineering (ICMETE 2023). It discusses the latest technological trends and advances in major research areas such as microelectronics, wireless communications, optical communication, signal processing, image processing, Big Data, cloud computing, artificial intelligence, and sensor network applications. This book includes the contributions of national/international scientists, researchers, and engineers from both academia and the industry. The contents of this book will be useful to researchers, professionals, and students alike