Resolution enhancement of images using fractal coding

Mohammad Gharavi-Alkhansari, Robert Denardo, Yoichi Tenda, Thomas S. Huang

Research output: Contribution to journalConference articlepeer-review


The code generated by fractal coding of a digital image provides a resolution-independent representation of the image as this code can be decoded to generate a digital image at any resolution. When the image is decoded at a size larger than the original encoded image, image details beyond the resolution of the original image are predicted by assuming local self-similarity in image at different scales. In this paper, we (1) present a formulation of how decoding may be done at a higher resolution, (2) evaluate the accuracy of the predicted details using a frequency analysis of fractally enlarged test images, and (3) propose a method for fractal resolution enhancement without the low-frequency loss of information due to fractal coding.

Original languageEnglish (US)
Pages (from-to)1089-1100
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1997
EventVisual Communications and Image Processing '97 - San Jose, CA, United States
Duration: Feb 12 1997Feb 12 1997


  • Coding
  • Compression
  • Fractal
  • Image
  • Interpolation
  • Resolution enhancement

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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