Books : High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
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 : High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
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High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
by: Erik Reinhard; Greg Ward; Sumanta Pattanaik; Paul Debevec

List Price: $80.95
Amazon.com's Price: $64.76
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Binding: Hardcover
Dewey Decimal Number: 621.367
EAN: 9780125852630
ISBN: 0125852630
Label: Morgan Kaufmann
Manufacturer: Morgan Kaufmann
Number Of Items: 1
Number Of Pages: 520
Publication Date: November 29, 2005
Publisher: Morgan Kaufmann
Release Date: August 24, 2005
Sales Rank: 505358
Studio: Morgan Kaufmann




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Editorial Review:

Product Description:
High dynamic range imaging produces images with a much greater range of light and color than conventional imaging. The effect is stunning, as great as the difference between black-and-white and color television. High Dynamic Range Imaging is the first book to describe this exciting new field that is transforming the media and entertainment industries. Written by the foremost researchers in HDRI, it will explain and define this new technology for anyone who works with images, whether it is for computer graphics, film, video, photography, or lighting design.

* Written by the leading researchers in HDRI
* Covers all the areas of high dynamic range imaging including capture devices, display devices, file formats, dynamic range reduction, and image-based lighting
* Includes a DVD with over 4 GB of HDR images as well as source code and binaries for numerous tone reproduction operators for Windows, Linux, and Mac OS X



Customer Reviews
Average Rating:  out of 5 stars

Rating: 5 out of 5 stars - Excellent!
Excellent book which covers various aspects of vision and photography. Unlike other similar texts, this one covers theoretical aspects in detail, the very reason I wanted to buy it. It is a complete but concise, all-in-one reference of the work done in the field of high dynamic range imaging. But it can also be read from the beginning to the end as a sequence of "tutorials".

However, grasping everything requires an above average mathematical background, which may not be where most photographers are coming from.



Rating: 5 out of 5 stars - Excellent reference
This book presents a wealth of technical information, ranging from radiometry to color science to image I/O. Consequently, it may not be of interest to people solely looking to do "artistic" tone-mapping, but it is invaluable to anyone implementing HDRI algorithms and software. In some places it reads like a cookbook with recipes for generating HDR images from multiple LDR sources and rendering HDR images for display.

The authors include some of the brightest names in the field and write with clarity an concision. They don't shy away from equations and algorithms, but they seem to hit the right level of detail. For the most part the book reads very well.



Rating: 4 out of 5 stars - HDR basics and more
This book is meant for developers and researchers working in digital imaging and computational photography. It starts from the very basics and provides a detailed account of HDR generation and tone mapping operators from practical standpoint. The accompanying DVD provides the reader with source codes for tone mapping operators apart from hundreds of HDR images in various formats. One problem is that the DVD does not contain either the multi-exposure images or the code for getting camera response function using different methods.

On the whole, this book is a very good read for any novice to the imaging area and highly recommended for those who work in HDR imaging.



Rating: 4 out of 5 stars - Good compendium
I am a fan of Dr. Reinhard and enjoyed the book quite a bit. This book surveys a number of the current methods for HDR Imaging and HDR compression. I wish it spent more time looking at the characteristics of the anatomy that we're trying to fool. For one thing, I am singularly unimpressed with Gaussian-based methods that cause halos around objects. The center-surround structure within the retina does not indicate a set of Gaussian (or even close!) weights as distance tails off. We use Gaussians because the math is easy, the function is separable, and largely for historic reasons.

Undoubtedly, as the amount of computer power available continues to increase, and as we make better statistical models for edges and detail, we will be able to make a print that is more closely compatible with the "mental sketch" that we hold in our heads that CAN cover a large dynamic range. This is a good first and second ... Read More




 

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