Resolution enhancement of images using fractal coding

Mohammad Gharavi-Alkhansari; Robert DeNardo; Yoichi Tenda; Thomas S. Huang

doi:10.1117/12.263188

10 January 1997 Resolution enhancement of images using fractal coding

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

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263188
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Mohammad Gharavi-Alkhansari, Robert DeNardo, Yoichi Tenda, and Thomas S. Huang "Resolution enhancement of images using fractal coding", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263188

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