JOURNAL ARTICLE

<title>Resolution enhancement of images using fractal coding</title>

M. Gharavi-AlkhansariRobert DeNardoYoichi TendaThomas S. Huang

Year: 1997 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3024 Pages: 1089-1100   Publisher: SPIE

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.

Keywords:
Fractal Decoding methods Computer science Artificial intelligence Image resolution Coding (social sciences) Computer vision Resolution (logic) Fractal transform Image (mathematics) Digital image Fractal analysis Pattern recognition (psychology) Image processing Algorithm Mathematics Fractal dimension Image compression Statistics

Metrics

14
Cited By
0.60
FWCI (Field Weighted Citation Impact)
0
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mathematical Dynamics and Fractals
Physical Sciences →  Mathematics →  Mathematical Physics
Fractal and DNA sequence analysis
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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