NSCT-Based Image Enhancement Combing Homomorphic Filtering with Fuzzy Theory

Kai Wen; Bin Sun; Jing Yang

doi:10.4028/www.scientific.net/AMR.989-994.4136

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994NSCT-Based Image Enhancement Combing Homomorphic...

NSCT-Based Image Enhancement Combing Homomorphic Filtering with Fuzzy Theory

Abstract:

Proposed is an algorithm of NSCT-Based Image Enhancement Combing Homomorphic Filtering With Fuzzy theory to improve the performance of traditional algorithms in the expression of the image edge detail and contrast. With the NSCT, both the low and high frequency sub-band components can be extracted. We dispose of the low frequency sub-band components of the decomposed image by homomorphic filtering and enhance the high-frequency sub-band components with fuzzy sets theory. Then the reconstructed image after above enhancement is obtained by using NSCT inverse transform.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4136-4139

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4136

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Online since:

July 2014

Authors:

Kai Wen*, Bin Sun, Jing Yang

Keywords:

Fuzzy Enhancement, Homomorphic Filtering, Image Enhancement, NSCT

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