Computational Photography

Author : Rastislav Lukac
Publisher : CRC Press
Page : 564 pages
File Size : 41,5 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781439817506

Get Book

Computational Photography by Rastislav Lukac Pdf

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.

Author : Ramesh Raskar,Jack Tumblin
Publisher : A K Peters/CRC Press
Page : 0 pages
File Size : 47,8 Mb
Release : 2016-05-15
Category : Computers
ISBN : 1568813139

Get Book

Computational Photography by Ramesh Raskar,Jack Tumblin Pdf

Computational Photography combines plentiful computing, digital sensors, modern optics, actuators, probes, and smart lights to escape the limitations of traditional film cameras and enables novel imaging applications. This book provides a practical guide to topics in image capture and manipulation methods for generating compelling pictures for graphics, special effects, scene comprehension, and art. The computational techniques discussed cover topics in exploiting new ideas in manipulating optics, illumination, and sensors at time of capture. In addition, the authors describe sophisticated reconstruction procedures from direct and indirect pixel measurements that go well beyond the traditional digital darkroom experience.

Author : Rastislav Lukac
Publisher : CRC Press
Page : 600 pages
File Size : 44,9 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781351833974

Get Book

Computational Photography by Rastislav Lukac Pdf

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.

Author : Saghi Hajisharif
Publisher : Linköping University Electronic Press
Page : 122 pages
File Size : 54,8 Mb
Release : 2020-02-18
Category : Electronic
ISBN : 9789179299057

Get Book

Computational Photography by Saghi Hajisharif Pdf

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.

Author : Andrew Bensley Adams
Publisher : Stanford University
Page : 135 pages
File Size : 50,6 Mb
Release : 2011
Category : Electronic
ISBN : STANFORD:rb852nq2286

Get Book

High-dimensional Gaussian Filtering for Computational Photography by Andrew Bensley Adams Pdf

Over the last decade, digital imaging has become ubiquitous. The advent of cheap digital cameras, and the inclusion of cameras in almost all mobile devices, has made photography one of the basic ways in which people record and communicate experiences. The ubiquity of cameras has imposed new constraints on their physical form. Camera modules are expected to be thin, light, and cheap. These restrictions make the production of high-quality images challenging. We turn to increasingly sophisticated algorithmic tools to transform the raw data captured by a camera into a photograph. This dissertation focuses on one such family of algorithmic tools: those expressible as a Gauss transform. One popular technique in this family is the bilateral filter, which smooths the fine detail in an image without crossing strong edges. It can be used to isolate and control the sharpness, tone, and contrast of a photograph at various scales. Its relatives, the joint-bilateral filter and the joint-bilateral upsample, allow for the fusion of data from multiple images. Another popular technique in the same family is non-local means, which denoises an image by replacing each pixel with the average color of all other pixels in the image with a similar local neighborhood. A naive implementation of these algorithms is prohibitively slow. This dissertation unifies these algorithms under a common framework, describes a variety of applications of the transform in photographic image processing, and presents two new data structures to accelerate the computation of such transforms: the permutohedral lattice, and the Gaussian kd-tree.

Author : Ayush Bhandari,Achuta Kadambi,Ramesh Raskar
Publisher : MIT Press
Page : 482 pages
File Size : 49,9 Mb
Release : 2022-10-25
Category : Technology & Engineering
ISBN : 9780262046473

Get Book

Computational Imaging by Ayush Bhandari,Achuta Kadambi,Ramesh Raskar Pdf

A comprehensive and up-to-date textbook and reference for computational imaging, which combines vision, graphics, signal processing, and optics. Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In recent years such capabilities include cameras that operate at a trillion frames per second, microscopes that can see small viruses long thought to be optically irresolvable, and telescopes that capture images of black holes. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. The text first presents an imaging toolkit, including optics, image sensors, and illumination, and a computational toolkit, introducing modeling, mathematical tools, model-based inversion, data-driven inversion techniques, and hybrid inversion techniques. It then examines different modalities of light, focusing on the plenoptic function, which describes degrees of freedom of a light ray. Finally, the text outlines light transport techniques, describing imaging systems that obtain micron-scale 3D shape or optimize for noise-free imaging, optical computing, and non-line-of-sight imaging. Throughout, it discusses the use of computational imaging methods in a range of application areas, including smart phone photography, autonomous driving, and medical imaging. End-of-chapter exercises help put the material in context.

Author : Takuya Funatomi,Takahiro Okabe
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 47,5 Mb
Release : 2024-05-21
Category : Computers
ISBN : 9781789451504

Get Book

Computational Imaging for Scene Understanding by Takuya Funatomi,Takahiro Okabe Pdf

Most cameras are inherently designed to mimic what is seen by the human eye: they have three channels of RGB and can achieve up to around 30 frames per second (FPS). However, some cameras are designed to capture other modalities: some may have the ability to capture spectra from near UV to near IR rather than RGB, polarimetry, different times of light travel, etc. Such modalities are as yet unknown, but they can also collect robust data of the scene they are capturing. This book will focus on the emerging computer vision techniques known as computational imaging. These include capturing, processing and analyzing such modalities for various applications of scene understanding.

Author : Kostas Daniilidis,Reinhard Klette
Publisher : Springer Science & Business Media
Page : 371 pages
File Size : 52,7 Mb
Release : 2006-09-21
Category : Photography
ISBN : 9781402048944

Get Book

Imaging Beyond the Pinhole Camera by Kostas Daniilidis,Reinhard Klette Pdf

This book traces progress in photography since the first pinhole, or camera obscura, architecture. The authors describe innovations such as photogrammetry, and omnidirectional vision for robotic navigation. The text shows how new camera architectures create a need to master related projective geometries for calibration, binocular stereo, static or dynamic scene understanding. Written by leading researchers in the field, this book also explores applications of alternative camera architectures.

Author : William Henry Fox Talbot
Publisher : DigiCat
Page : 66 pages
File Size : 47,6 Mb
Release : 2022-09-16
Category : Photography
ISBN : EAN:8596547361367

Get Book

The Pencil of Nature by William Henry Fox Talbot Pdf

DigiCat Publishing presents to you this special edition of "The Pencil of Nature" by William Henry Fox Talbot. DigiCat Publishing considers every written word to be a legacy of humankind. Every DigiCat book has been carefully reproduced for republishing in a new modern format. The books are available in print, as well as ebooks. DigiCat hopes you will treat this work with the acknowledgment and passion it deserves as a classic of world literature.

Author : Darin Boville
Publisher : Unknown
Page : 240 pages
File Size : 46,8 Mb
Release : 2019-12-30
Category : Electronic
ISBN : 0578560364

Get Book

Computational Photography by Darin Boville Pdf

Author : Charles A. Bouman
Publisher : SIAM
Page : 350 pages
File Size : 41,8 Mb
Release : 2022-07-06
Category : Mathematics
ISBN : 9781611977134

Get Book

Foundations of Computational Imaging by Charles A. Bouman Pdf

Collecting a set of classical and emerging methods previously unavailable in a single resource, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book brings together a blend of research with applications in a variety of disciplines, including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Readers will find basic techniques of model-based image processing, a comprehensive treatment of Bayesian and regularized image reconstruction methods, and an integrated treatment of advanced reconstruction techniques, such as majorization, constrained optimization, alternating direction method of multipliers (ADMM), and Plug-and-Play methods for model integration. Foundations of Computational Imaging can be used in courses on model-based or computational imaging, advanced numerical analysis, data science, numerical optimization, and approximation theory. It will also prove useful to researchers or practitioners in medical, scientific, commercial, and industrial imaging.

Author : Mark Chen,Chelsea Shannon
Publisher : Routledge
Page : 682 pages
File Size : 42,6 Mb
Release : 2020-05-31
Category : Photography
ISBN : 9781000185249

Get Book

Photography by Mark Chen,Chelsea Shannon Pdf

Finally, here is a photography textbook authored in the 21st century for 21st century audiences. Photography: A 21st Century Practice speaks to the contemporary student who has come of age in the era of digital photography and social media, where every day we collectively take more than a billion photographs. How do aspiring photographers set themselves apart from the smartphone-toting masses? How can an emerging photographic artist push the medium to new ground? The answers provided here are innovative, inclusive, and boundary shattering, thanks to the authors’ framework of the "4Cs": Craft, Composition, Content and Concept. Each is explored in depth, and packaged into a toolbox the photographic student can immediately put into practice. With a firm base in digital imaging, the authors also shed new light on chemical-based photographic processes and address the ways in which new technology is rapidly expanding photographic possibilities. In addition, Photography: A 21st Century Practice features: • 12 case studies from professional practice, featuring established photographic artists and showcasing the techniques, concepts, modes of presentation, and other professional concerns that shape their work. • Over 40 student assignments that transform theory into hands-on experience. • 800 full-color images and 200 illustrations, including photographs by some of the world’s best-known and most exciting emerging photographic artists, and illustrations that make even complex processes and ideas simple to understand. • More than 50 guided inquiries into the nature of photographic art to jump start critical thinking and group discussions.

Author : Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha
Publisher : Springer
Page : 964 pages
File Size : 45,5 Mb
Release : 2007-11-14
Category : Computers
ISBN : 9783540763864

Get Book

Computer Vision -- ACCV 2007 by Yasushi Yagi,Sing Bing Kang,In So Kweon,Hongbin Zha Pdf

This title is part of a two volume set that constitutes the refereed proceedings of the 8th Asian Conference on Computer Vision, ACCV 2007. Coverage in this volume includes shape and texture, face and gesture, camera networks, face/gesture/action detection and recognition, learning, motion and tracking, human pose estimation, matching, face/gesture/action detection and recognition, low level vision and phtometory, motion and tracking, human detection, and segmentation.

Author : Michael R. Peres
Publisher : CRC Press
Page : 449 pages
File Size : 47,9 Mb
Release : 2021-03-11
Category : Photography
ISBN : 9781000329179

Get Book

Natural Science Imaging and Photography by Michael R. Peres Pdf

This book provides an in-depth exploration of scientific photography. Highlighting the best practices needed to make, distribute, and preserve scientific visual information using digital photographic methods and technologies, it offers solutions to some of the biggest challenges facing photographers. Written by a team of international, award-winning image makers with over 300 years of cumulative experience, this comprehensive resource explains the foundations used, the tools required, and the steps to needed for creating the optimal photograph in a range of environments and circumstances. Topics covered include: • ethical practices • aerial photography • close-up and macro photography • computational photography • field photography • geological photography • imaging with invisible spectrums • photographing small animals in captivity • time-based imaging • image processing in science Showcasing modern methods, this book equips readers with the skills needed to capture and process the best image possible. Designed for basic and intermediate photographers, Natural Science Imaging and Photography exists as an essential contemporary handbook.

Author : Richard Szeliski
Publisher : Springer Nature
Page : 925 pages
File Size : 41,6 Mb
Release : 2022-01-03
Category : Computers
ISBN : 9783030343729

Get Book

Computer Vision by Richard Szeliski Pdf

Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.