Overview
- This is a unique practical short book on image compositing and optimization fundamentals
- Examples are demonstrated using both GIMP, a free open source digital image application, and Adobe Photoshop
- After completing this book, readers will have a comprehensive understanding of what goes into a Digital Image Compositing Pipeline
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About this book
Digital Image Compositing Fundamentals is an introductory title covering concepts central to digital imagery and digital image compositing using software packages such as Adobe Photoshop or the open source GIMP software, which is used for this book because it is free for commercial use.Â
This book builds on the fundamental concepts of pixels, color depth and layers, and gets more advanced as chapters progress, covering pixel transparency using the alpha channel, pixel blending using Porter-Duff blending and transfer modes, and digital image file formats and key factors regarding a data footprint optimization work process.
What You'll Learn:
- What are the most common memes in digital imagingÂ
- What comprises a digital image compositing pipeline
- What are the concepts behind digital imaging
- How to install and use GIMP 2.8 or 2.9
- What are and how to use the concepts behind color depth and imageoptimization
This book is for those new to image compositing, editing. Â Ideal for web developers, game developers who need to learn these kinds of fundamentals quickly and effectively.
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Table of contents (14 chapters)
About the author
Bibliographic Information
Book Title: Digital Image Compositing Fundamentals
Authors: Wallace Jackson
DOI: https://doi.org/10.1007/978-1-4842-4060-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Wallace Jackson, Apress 2015
Softcover ISBN: 978-1-4842-1639-2Published: 01 October 2015
eBook ISBN: 978-1-4842-4060-1Published: 12 October 2015
Edition Number: 1
Number of Pages: XIX, 166
Number of Illustrations: 149 b/w illustrations
Topics: Computer Graphics, Image Processing and Computer Vision