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ePub Color Image Processing: Methods and Applications (Image Processing Series) download

by Rastislav Lukac,Kostantinos N. Plataniotis

ePub Color Image Processing: Methods and Applications (Image Processing Series) download
Author:
Rastislav Lukac,Kostantinos N. Plataniotis
ISBN13:
978-0849397745
ISBN:
084939774X
Language:
Publisher:
CRC Press; 1 edition (October 20, 2006)
Category:
Subcategory:
Engineering
ePub file:
1324 kb
Fb2 file:
1642 kb
Other formats:
mobi doc lit lrf
Rating:
4.9
Votes:
490

The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging.

The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy.

Series: Image Processing Series (Book 7). Hardcover: 600 pages. ISBN-13: 978-0849397745. Product Dimensions: . x . x 10 inches. Back to top. Get to Know Us. Careers.

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Reporting the state of the art of color image processing, this monograph fills an. .

Reporting the state of the art of color image processing, this monograph fills an existing gap in the literature on digital signal and image processing. It can serve the needs of different users at different levels: as a textbook which covers a graduate image processing course, as a up-to-date. The book contains numerous examples and pictures of color image processing results, as well as tables which summarize the results of the analysis.

Color Image Processing and Applications. Image enhancement and segmentation are the two imperative steps while processing digital images

Color Image Processing and Applications. Konstantinos Plataniotis. Since normal cryptographic hashing methods are error prone to image processing techniques. Perceptual hashing is a promising solution to image content authentication. However, conventional image hash algorithms only offer a limited authentication level for overall protection of the content. Image enhancement and segmentation are the two imperative steps while processing digital images. The goal of enhancement is to improve the quality of images so as to nullify the effect of poor illumination conditions during image acquisition.

oceedings{Lukac2006ColorIP, title {Color image processing : methods and applications}, author .

oceedings{Lukac2006ColorIP, title {Color image processing : methods and applications}, author {Rastislav Lukac and Konstantinos N. Plataniotis}, year {2006} }. Rastislav Lukac, Konstantinos N. ICC Color Management: Architecture and Implementation A. Sharma Versatile Gamut Mapping Method Based on Image-to-Device Concept H. Kotera and R. Saito Three-, Two-, One-, and Six-Dimensional Color Constancy . Finlayson Noise Reduction and Edge Detection in Color Images B. Smolka and . Venetsanopoulos Color Image Segmentation: Selected Techniques H. Palus Resizing Color Images in the Compressed Domain J.

Rastislav Lukac, Konstantinos N. Video shot segmentation and surveillance. eBook Rental from £2. 0. CRC Press Published October 20, 2006 Reference - 600 Pages - 1028 B/W Illustrations ISBN 9780849397745 - CAT 9774 Series: Image Processing Series. Color Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications. This book is part of the Digital Imaging and Computer Vision series.

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing. The book offers comprehensive coverage of state-of-the-art systems, processing techniques, and emerging applications of digital color imaging.

To elucidate the significant progress in specialized areas, the editors invited renowned authorities to address specific research challenges and recent trends in their area of expertise. The book begins by focusing on color fundamentals, including color management, gamut mapping, and color constancy. The remaining chapters detail the latest techniques and approaches to contemporary and traditional color image processing and analysis for a broad spectrum of sophisticated applications, including:

Vector and semantic processingSecure imagingObject recognition and feature detectionFacial and retinal image analysisDigital camera image processingSpectral and superresolution imagingImage and video colorizationVirtual restoration of artworkVideo shot segmentation and surveillanceColor Image Processing: Methods and Applications is a versatile resource that can be used as a graduate textbook or as stand-alone reference for the design and the implementation of various image and video processing tasks for cutting-edge applications.

This book is part of the Digital Imaging and Computer Vision series.