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Proceedings Paper

Resolution enhancement of images using fractal coding
Author(s): Mohammad Gharavi-Alkhansari; Robert DeNardo; Yoichi Tenda; Thomas S. Huang
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Paper Abstract

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.

Paper Details

Date Published: 10 January 1997
PDF: 12 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263188
Show Author Affiliations
Mohammad Gharavi-Alkhansari, Univ. of Illinois/Urbana-Champaign (United States)
Robert DeNardo, Univ. of Illinois/Urbana-Champaign (United States)
Yoichi Tenda, Mitsubishi Electric Corp. (Japan)
Thomas S. Huang, Univ. of Illinois/Urbana-Champaign (United States)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp, Editor(s)

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