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Image Super-Resolution and Applications

About Image Super-Resolution and Applications

Image super-resolution is the process by which a single HR image is obtained from multiple degraded LR images. Image super-resolution can be carried out with or without a priori information. The problem of super-resolution reconstruction of images can be solved in successive steps: image registration, multi-channel image restoration, image fusion, and, finally, image interpolation. This book provides complete coverage of image super-resolution and its applications. With MATLAB® programs, the text presents various techniques polynomial image interpolation, adaptive polynomial image interpolation, and color image interpolation. It also analyzes image interpolation for pattern recognition.

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  • Language:
  • English
  • ISBN:
  • 9781466557963
  • Binding:
  • Hardback
  • Pages:
  • 502
  • Published:
  • December 14, 2012
  • Dimensions:
  • 240x161x32 mm.
  • Weight:
  • 878 g.
Delivery: 2-3 weeks
Expected delivery: January 12, 2025

Description of Image Super-Resolution and Applications

Image super-resolution is the process by which a single HR image is obtained from multiple degraded LR images. Image super-resolution can be carried out with or without a priori information. The problem of super-resolution reconstruction of images can be solved in successive steps: image registration, multi-channel image restoration, image fusion, and, finally, image interpolation. This book provides complete coverage of image super-resolution and its applications. With MATLAB® programs, the text presents various techniques polynomial image interpolation, adaptive polynomial image interpolation, and color image interpolation. It also analyzes image interpolation for pattern recognition.

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