High dynamic range imaging acquisition display and image based lighting

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high dynamic range imaging acquisition display and image based lighting

High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting by Erik Reinhard

High Dynamic Range Imaging, Second Edition, is an essential resource for anyone working with images, whether it is for computer graphics, film, video, photography, or lighting design. It describes HDRI technology in its entirety and covers a wide-range of topics, from capture devices to tone reproduction and image-based lighting. The techniques described enable students to produce images that have a dynamic range much closer to that found in the real world, leading to an unparalleled visual experience. This revised edition includes new chapters on High Dynamic Range Video Encoding, High Dynamic Range Image Encoding, and High Dynamic Range Display Devices. All existing chapters have been updated to reflect the current state-of-the-art technology. As both an introduction to the field and an authoritative technical reference, this book is essential for anyone working with images, whether in computer graphics, film, video, photography, or lighting design.




New material includes chapters on High Dynamic Range Video Encoding, High Dynamic Range Image Encoding, and High Dynammic Range Display Devices
Written by the inventors and initial implementors of High Dynamic Range Imaging
Covers the basic concepts (including just enough about human vision to explain why HDR images are necessary), image capture, image encoding, file formats, display techniques, tone mapping for lower dynamic range display, and the use of HDR images and calculations in 3D rendering
Range and depth of coverage is good for the knowledgeable researcher as well as those who are just starting to learn about High Dynamic Range imaging
The prior edition of this book included a DVD-ROM. Files from the DVD-ROM can be accessed at: http: //www.erikreinhard.com/hdr_2nd/index.html
File Name: high dynamic range imaging acquisition display and image based lighting.zip
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Published 19.12.2018

The keys to panoramic photographs and HDR panoramas

High Dynamic Range Imaging

This content was uploaded by our users and we assume good faith they have the permission to share this book. If you own the copyright to this book and it is wrongfully on our website, we offer a simple DMCA procedure to remove your content from our site. Start by pressing the button below! This page intentionally left blank This is a remarkably complete book on one of the most important areas of modern co This page intentionally left blank This is a remarkably complete book on one of the most important areas of modern computer graphics by four of the top people in the field. Its clear and detailed treatment of both theory and practice will make it an essential resource for my own work, and I would recommend it to anyone doing computer graphics or imaging.

Use the link below to share a full-text version of this article with your friends and colleagues. Learn more. Volume 32 , Issue 3. The full text of this article hosted at iucr. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account.

Kundrecensioner

Most high dynamic range image HDRI algorithms assume stationary scene for registering multiple images which are taken under different exposure settings. In practice, however, there can be some global or local movements between images caused by either camera or object motions. This situation usually causes ghost artifacts which make the same object appear multiple times in the resultant HDRI. To solve this problem, most conventional algorithms conduct ghost detection procedures followed by ghost region filling with the estimated radiance values. However, usually these methods largely depend on the accuracy of the ghost detection results, and thus often suffer from color artifacts around the ghost regions. In this paper, we propose a new robust ghost-free HDRI generation algorithm that does not require accurate ghost detection and not suffer from the color artifact problem. To deal with the ghost problem, our algorithm utilizes the global intensity transfer functions obtained from joint probability density functions pdfs between different exposure images.

Published by Morgan Kaufmann Seller Rating:. About this Item: Morgan Kaufmann, Condition: Good. Ships from the UK. Shows some signs of wear, and may have some markings on the inside.

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