Encyclopedia of Image Processing

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advanced signal processing
biomedical imaging techniques
Category=GBC
Category=UYT
Color Space
Compressive Sensing
computational vision algorithms
digital image analysis
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FBGs
Fuzzy Set
Gray Level
HDR Image
Histogram Equalization
Human Visual System
Image In-painting
image processing for scientific research
Image Registration
Image Super Resolution
LR Image
Maximal Length Sequences
Membership Function
MRF
NSS
Optical Flow
pattern recognition methods
Remote Sensing
Remote Sensing Image
Remote Sensing Image Processing
RGB
RGB Color Image
Secret Image
security and privacy in imaging
SSIM
Vice Versa

Product details

  • ISBN 9781482244908
  • Weight: 2227g
  • Dimensions: 210 x 280mm
  • Publication Date: 05 Nov 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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The Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.

Philip A. Laplante is Professor of Software and Systems Engineering Penn State University.