Last edited by Dairg
Tuesday, July 7, 2020 | History

2 edition of Computational photography found in the catalog.

Computational photography

Ramesh Raskar

Computational photography

mastering new techniques for lenses, lighting, and sensors

by Ramesh Raskar

  • 46 Want to read
  • 38 Currently reading

Published by A.K. Peters in Natick, Mass .
Written in English

    Subjects:
  • Photography -- Technique,
  • Photography -- Equipment and supplies

  • Edition Notes

    Includes bibliographical references and index.

    StatementRamesh Raskar, Jack Tumblin.
    ContributionsTumblin, Jack, 1955-
    Classifications
    LC ClassificationsTR146 .R37 2009
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL23909174M
    ISBN 109781568813134
    LC Control Number2009039331

    Burch, J.M. Matrix Methods in Optics. Dover, —a somewhat old-fashioned book but with a nice explanation of gaussian optics from a matrix standpoint. Kingslake, Rudolf. Optics in Photography. SPIE Press, —a nice readable account of traditional lens design. London, Stone, and Upton. Photography, 10e. Prentice Hall, Computational Photography: Methods and Applications | Rastislav Lukac | download | B–OK. Download books for free. Find books.

    Computational photography takes a swarm of data from images or image sensors and combines it algorithmically to produce a photo that would be impossible to capture with film photography or digital. Computational photography combines ideas in computer vision, computer graphics, and image processing to overcome limitations in image quality such as resolution, dynamic range, and defocus/motion blur. This course will first cover the fundamentals of image sensing and modern cameras.

      Even Leica loves “computational photography” So instead of writing about the regulation of Google’s monopoly or moral ambiguities of Facebook, I decided to focus on a topic that makes me excited about the future — computational photography, which is simply capturing and processing digital images using computation instead of more. This course will explore topics in computational photography, a field at the intersection of computer vision, graphics, and photography. Over the semester we will look at how computation can be used to capture, create, and enhance digital imagery in an effort to move beyond the constraints of traditional cameras.


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Computational photography by Ramesh Raskar Download PDF EPUB FB2

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 4/5(1).

Computational Photography: Methods and Applications (Digital Imaging and Computer Vision Book 2) Computational photography book Kindle edition by Lukac, Rastislav.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Computational Photography: Methods and Applications (Digital Imaging and Computer Vision Book 2).Manufacturer: CRC Press.

This book provides a practical guide to topics in image capture and manipulation Computational photography book 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.

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.

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 Cited by: 1.

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 Author: Rastislav Lukac.

Computational Photography is concerned with overcoming the limitations of traditional photography with computation: in optics, sensors, and geometry; and even in composition, style, and human interfaces. but sections from a textbook will be suggested for more formalization and information.

This book is available free online. Book Description. 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.

Description. If the traditional photography book is akin to a novel then Computational Photography is book of essays or short stories, all along common themes and (both images and text) interacting with each other in ways both overt and subtle.

Divided into three sections, War, Art, and Technology, Computational Photography is made up of sixteen bodies of work, each with an accompanying essay. Computational Photography: Methods and Applications offers a rather comprehensive coverage of both the analytical principles and practical algorithms that have been developed for digital photography.

Similar to other books that are coordinated by editors rather than written by one or a few authors, this book is a collection of chapters authored by many experts in the broad area of Cited by:   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 /5(2).

Computational photography is the convergence of computer graphics, computer vision, optics and imaging. Its role is to overcome the limitations of traditional cameras, by combining imaging and computation to enable new and enhanced ways of capturing, representing, and.

This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a 3D scene to form a 2D image. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely the capture and depiction of reality on a (mostly 2D) medium of images.

IEEE International Conference on Computational Photography (ICCP) Best Paper award In wave optics, the Wigner distribution and its Fourier dual, the ambiguity function, are important tools in optical system simulation and analysis. The light field fulfills a similar role in the computer graphics community.

Computational photography has broad applications in aesthetic and technical photography, 3D imaging, medical imaging, human-computer interaction, virtual/augmented reality and so on. This book is intended for readers who are interested in algorithmic and technical aspects of File Size: 7MB.

Computational Photography is an emerging new field created by the convergence of computer graphics, computer vision and photography. Its role is to overcome the limitations of the traditional camera by using computational techniques to produce a richer, more vivid, perhaps more perceptually meaningful representation of our visual world.

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 book provides a practical %().

A Chronology of Photography. A Cultural Timeline from Camera Obscura to Instagram, by Paul Lowe, an award-winning photographer and Course Director of the Masters programme in Photojournalism and Documentary Photography at the London College of Communication, University of the Arts London.

Available on. Publisher Thames & Hudson writes: A Chronology of Photography. Computational photography or computational imaging is a process that combines computer graphics, computer vision, and photography. The method provides a means to overcome the limitations found.

Computational Photography: Epsilon to Coded Photography Fig When we measure all the light rays going out of the enclosure, it comprises of the 4D light field (figure from [16]) parameterized by azimuth angle and elevation, therefore the BRDF as a whole is 4-dimensional.

As a further intuitive illustration [16] of 4D light fields imagine. Computational photography is the art, science, and engineering of creating a great (still or moving) image.

Information is recorded in space, time, across visible and invisible radiation and from other sources, and then post-processed to produce the final - visually pleasing - result.Computational photography and video go one step further and exploit digital technology to enable arbitrary computation between the light array and the final image or video.

Such computation can overcome limitations of the imaging hardware and enable new applications. Computational photography doesn’t simply mean totally novel experiences, either. It also means adding information to photographic and video metadata that wasn’t available to earlier cameras.

In a previous job at GoPro, Medina was working on technology to feed the camera information like a user’s heart rate, acceleration, height and.