A reprogrammable processor for fractal image compression

  • Barry Fagin
  • Pichet Chintrakulchai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 849)


Fractal image compression appears to be a good candidate for implementation with a reprogrammable processor. It is computationally intensive, slow on existing technology, and employs a few basic, welldefined functions that are clear candidates for hardware implementation. We discuss our implementation of a reconfigurable processor for fractal image compression, used to evaluate the utility of different compression methods faster than a software-only approach.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Barry Fagin
    • 1
    • 2
  • Pichet Chintrakulchai
    • 3
  1. 1.Department of Computer ScienceUnited States Air Force Academy
  2. 2.USAF AcademyColoradoUSA
  3. 3.Thayer School of EngineeringDartmouth CollegeHanoverUSA

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