Super Resolution Imaging Applied to Scientific Images

Abstract

Super-resolution refers to the process of producing a high spatial resolution image than what is afforded by the physical sensor through post processing means. It includes up sampling the image, thereby increasing the maximum spatial frequency, and removing degradations that arise during the image capture, viz., aliasing and blurring. Various methods have been explored for super resolution of material surface images as well as other images in the report. Based on observations it is recommended to use either the contourlet based method or TV based approach for super-resolving optical microscope data. To super-resolve the AFM data, it is recommended to use either TV-based approach or PG method.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2007
Accession Number
ADA473125

Entities

People

  • Subhasis Chaudhuri

Organizations

  • Indian Institute of Technology Bombay

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Authentication
  • Computer Graphics
  • Computer Vision
  • Data Sets
  • Digital Images
  • Electrical Engineering
  • Frequency
  • Frequency Domain
  • High Resolution
  • Image Processing
  • Image Reconstruction
  • Image Restoration
  • Information Processing
  • Materials
  • Pattern Recognition
  • Signal Processing

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.