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Proceedings Paper

Error correction in images using overcomplete pyramid representations
Author(s): Subrata Rakshit; Charles H. Anderson
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Paper Abstract

The Burt pyramid was developed as a means of decomposing images into multiscale representations. Unlike the wavelet transforms, which are complete orthonormal transformations, the pyramid transforms are overcomplete like frames. In addition, the Burt pyramid has an exact reconstruction rule. This paper first examines the consequences of that redundancy and exact reconstruction. Even though the pyramids are not strictly frames, the pyramids are characterized in much the same way as frames. The issue of error detection is addressed next, followed by the development of an error correction algorithm. This leads to a 10 dB noise reduction in addition to the reduction inherent to reconstruction of frames. Examples are given to show the performance for different types of noise.

Paper Details

Date Published: 11 October 1994
PDF: 12 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188770
Show Author Affiliations
Subrata Rakshit, Washington Univ. Medical School (United States)
Charles H. Anderson, Washington Univ. Medical School (United States)


Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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