Computational Photography

Methods and Applications
Herausgeber: Lukac, Rastislav

• Gebundenes Buch

Produktbeschreibung

Computational photography is a new and rapidly developing research field that has evolved from computer vision, image processing, computer graphics, and applied optics to computational imaging techniques that enhance or extend the capabilities of digital photography. The output of these techniques is an image that cannot be produced by today's common imaging solutions. This book details recent advances in computational photography, their applications, and specific research challenges. The text begins with computational photography fundamentals and computational cameras, followed by a discussion of computational photography approaches across a broad spectrum of imaging applications.

Produktdetails

• Verlag: CRC Press
• Seitenzahl: 564
• Erscheinungstermin: 21. Oktober 2010
• Englisch
• Abmessung: 267mm x 184mm x 35mm
• Gewicht: 1146g
• ISBN-13: 9781439817490
• ISBN-10: 1439817499
• Artikelnr.: 30346464

Autorenporträt

Dr. Rastislav Lukac is an accomplished digital imaging scientist with more than 10 years of advanced experience in conducting scholarly and applied research. In his professional career, he has held appointments at various leading organizations and research institutions, including the University of Toronto, Canada; the University of Amsterdam, Netherlands; the Aristotle University of Thessaloniki, Greece, and Epson Canada Ltd., Toronto. Since August 2009, he has been a senior digital imaging scientist - image processing manager at Foveon, Inc./Sigma Corp., San Jose, California, USA. He has authored and contributed to numerous books and textbooks, and he has published more than 200 scholarly research papers in the areas of digital camera image processing, color image and video processing, multimedia security, and microarray image processing. He is also author of more than 25 patent-pending inventions in the areas of digital color imaging and pattern recognition, and he has been cited more than 650 times in peer-review journals covered by the Science Citation Index (SCI). Among his many accolades, he was the recipient of the 2003 North Atlantic Treaty Organization / National Sciences and Engineering Research Council of Canada (NATO/NSERC) Science Award, and he received the Most Cited Paper Award for the Journal of Visual Communication and Image Representation for the years 2005-2007. He also authored the number one article in the ScienceDirect Top 25 Hottest Articles in Signal Processing for April-June 2008.

Inhaltsangabe

Single Capture Image Fusion. Single Capture Image Fusion with Motion
Consideration. Lossless Compression of Bayer Color Filter Array Images.
Color Restoration and Enhancement in the Compressed Domain. Principal
Component Analysis-Based Denoising of Color Filter Array Images.
Regularization-Based Color Image Demosaicking. Super-Resolution Imaging.
Image Deblurring Using Multi-Exposed Images. Color High Dynamic Range
Imaging: Algorithms for Acquisition and Display. High Dynamic Range Imaging
for Dynamic Scenes. Shadow Detection in Digital Images and Videos. Document
Image Rectification Using Single-View or Two-View Camera Input. Bilateral
Filter: Theory and Applications. Painterly Rendering. Machine Learning
Methods for Automatic Image Colorization. Machine Learning for Digital Face
Beautification. High-Quality Light Field Acquisition and Processing.
Dynamic View Synthesis with an Array of Cameras.