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Imaging Studies III: Computed Tomography

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Computed Tomography (CT) scan:
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German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...
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Processing JPEG-compressed images and documents.

R L de Queiroz1

  • 1Xerox Corp., Webster, NY 14580, USA. queiroz@wrc.xerox.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces methods for processing Joint Photographic Experts Group (JPEG) compressed images directly. These techniques reduce memory usage and boost processing speed for scanned documents.

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Area of Science:

  • Computer Science
  • Image Processing
  • Data Compression

Background:

  • The Joint Photographic Experts Group (JPEG) is an international standard for image compression.
  • Processing images typically requires decompression, which is computationally intensive and memory-demanding.
  • Existing methods often necessitate full decompression for basic image manipulations.

Purpose of the Study:

  • To develop techniques for processing images directly within the JPEG-compressed domain.
  • To minimize memory requirements and enhance processing speed.
  • To avoid computationally expensive decompression and spatial domain operations.

Main Methods:

  • Implementation of minimal Joint Photographic Experts Group (JPEG) basic operations.
  • Development of algorithms for in-domain processing tasks.
  • Focus on scanned documents as a primary application, but with general applicability.

Main Results:

  • Demonstrated techniques for scaling JPEG-compressed images.
  • Presented methods for previewing, rotating, mirroring, and cropping compressed data.
  • Showcased recompressing and segmenting JPEG-compressed images efficiently.

Conclusions:

  • Direct processing of JPEG-compressed images is feasible and offers significant advantages.
  • The proposed techniques reduce computational overhead and memory footprint.
  • These methods are particularly beneficial for handling large volumes of scanned documents.