A framework for contrast enhancement by dyadic wavelet analysis

Andrew F. Laine; Jian Fan; Sergio Schuler

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A framework for contrast enhancement by dyadic wavelet analysis
Laine, Andrew F.
Fan, Jian
Schuler, Sergio
Biomedical Engineering
Permanent URL:
Digital mammography : proceedings of the 2nd International Workshop on Digital Mammography, York, England, 10-12 July 1994 (Amsterdam ; New York : Elsevier, 1994), pp. 91-100.
This paper introduces a method for accomplishing mammographic feature analysis by multiresolution representations of the dyadic wavelet transform. Our approach consists of the application of non-linear enhancing functions E(z) within levels of a multiresolution representation. We show that there exists a simple constraint for E(z) such that image enhancement is guaranteed. Furthermore, a simple case in which the enhancement operator is a constant multiplier is mathematically equivalent to traditional unsharp masking. We show quantitatively that transform coefficients, modified within each level by non-linear operators, can make more obvious unseen or barely seen features of mammography without requiring additional radiation. Our results are compared with traditional image enhancement techniques by measuring the local contrast of known mammographic features.
Biomedical engineering
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Suggested Citation:
Andrew F. Laine, Jian Fan, Sergio Schuler, 1994, A framework for contrast enhancement by dyadic wavelet analysis, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:9496.

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