Statistical Methods for Image Registration and Denoising
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Statistical Methods for Image Registration and Denoising

Statistical Methods for Image Registration and Denoising


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About the Book

This dissertation describes research into image processing techniques that enhance military operational and support activities. The research extends existing work on image registration by introducing a novel method that exploits local correlations to improve the performance of projection-based image registration algorithms. The dissertation also extends the bounds on image registration performance for both projection-based and full-frame image registration algorithms and extends the Barankin bound from the one-dimensional case to the problem of two-dimensional image registration. It is demonstrated that in some instances, the Cramer-Rao lower bound is an overly-optimistic predictor of image registration performance and that under some conditions, the Barankin bound is a better predictor of shift estimator performance. The research also looks at the related problem of single-frame image denoising using block-based methods. The research introduces three algorithms that operate by identifying regions of interest within a noise-corrupted image and then generating noise free estimates of the regions as averages of similar regions in the image.


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Product Details
  • ISBN-13: 9781288286348
  • Publisher: Biblioscholar
  • Publisher Imprint: Biblioscholar
  • Height: 246 mm
  • No of Pages: 156
  • Series Title: English
  • Weight: 340 gr
  • ISBN-10: 1288286341
  • Publisher Date: 01 Nov 2012
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Width: 189 mm


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