Computational Photography
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Computational Photography
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Author : Rastislav Lukac
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Computational Photography written by Rastislav Lukac and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.
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.
Computational Photography
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Author : Ramesh Raskar
language : en
Publisher: A K Peters/CRC Press
Release Date : 2016-05-15
Computational Photography written by Ramesh Raskar and has been published by A K Peters/CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-15 with Computers categories.
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.
Computational Photography
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Author : Saghi Hajisharif
language : en
Publisher: Linköping University Electronic Press
Release Date : 2020-02-18
Computational Photography written by Saghi Hajisharif and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-18 with categories.
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.
Computational Photography
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Author : Rastislav Lukac
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Computational Photography written by Rastislav Lukac and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.
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.
Computational Imaging
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Author : Ayush Bhandari
language : en
Publisher: MIT Press
Release Date : 2022-10-25
Computational Imaging written by Ayush Bhandari and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-25 with Technology & Engineering categories.
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.
Computer Vision Accv 2007
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Author : Yasushi Yagi
language : en
Publisher: Springer
Release Date : 2007-11-14
Computer Vision Accv 2007 written by Yasushi Yagi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-14 with Computers categories.
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.
2016 Ieee International Conference On Computational Photography Iccp
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Author :
language : en
Publisher:
Release Date : 2016
2016 Ieee International Conference On Computational Photography Iccp written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computational photography categories.
High Dimensional Gaussian Filtering For Computational Photography
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Author : Andrew Bensley Adams
language : en
Publisher: Stanford University
Release Date : 2011
High Dimensional Gaussian Filtering For Computational Photography written by Andrew Bensley Adams and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
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.
2015 Ieee International Conference On Computational Photography Iccp 2015
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Author :
language : en
Publisher:
Release Date : 2015
2015 Ieee International Conference On Computational Photography Iccp 2015 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Computer Vision Seeing The World Through Ai Eye
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Author : Dr. Aadam Quraishi MD
language : en
Publisher: Xoffencer international book publication house
Release Date : 2025-01-15
Computer Vision Seeing The World Through Ai Eye written by Dr. Aadam Quraishi MD and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
The goal of the field of artificial intelligence (AI) known as computer vision is to give computers the ability to see and process visual input from their surroundings in a manner that is comparable to how humans see. This multidisciplinary field makes use of insights from the fields of neuroscience, computer science, mathematics, and engineering in order to construct models and algorithms that provide computers with the ability to recognize patterns, recognize things, and grasp scenarios. In the field of computer vision, the holy grail is the development of systems that are both efficient and accurate, and that are able to recognize objects, scenes, and other visual clues. These are jobs that have traditionally been associated with people. The rapid advancements in machine learning, particularly deep learning, have significantly accelerated the field of computer vision, which has resulted in the development of visual identification systems that are both more complicated and more effective. The most important aspects of computer vision are the methods of data collection, transformation, and analysis when it comes to visual information. For the purpose of initiating the process of image collection, sensors capture digital photographs or video streams of the environment that is surrounding them. In order to guarantee that the data is prepared for analysis, these photographs are preprocessed in order to enhance their quality and reduce the amount of noise. The process continues with the next processes, which are feature extraction and pattern recognition. These are the steps in which algorithms locate and label various components of the image. Feature isolation can be accomplished by a variety of techniques, including color segmentation, edge detection, and texture analysis. Recently, convolutional neural networks (CNNs) have been a game-changer in the field of computer vision systems. They have accomplished this by automating the process of feature extraction from raw images, which has dramatically improved the accuracy and efficiency of these systems. The numerous applications of computer vision can be of use to a wide variety of industries and professions. X-rays, magnetic resonance imaging (MRI), and other images are analyzed by computer vision, which assists medical personnel in diagnosing and treating patients. Through the ability to read road signs, identify pedestrians, and steer clear of impediments, it enables autonomous vehicles to navigate.