NSCT-Based Image Enhancement Combing Homomorphic Filtering with Fuzzy Theory
Kai Wen, Bin Sun, Jing Yang · Advanced materials research · 2014
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.