Open Access Open Access  Restricted Access Subscription or Fee Access

Fuzzy Logic Based Contrast Enhancement

M. K. Saini, S. Saini

Abstract



A novel improved fuzzy logic based image enhancement method using local information from the sub-images has been proposed in this work. The proposed methodology enhances only the V component of HSV colour space model of the sub-images, which carries the achromatic information of the image, retaining the hue and saturation components. For effectively extracting the local information, the number of sub-images has been optimized using bacterial foraging optimization algorithm. The enhancement process employs the fuzzy logic which computes the enhanced intensity values of the sub-image pixels depending on the average intensity value of the sub-images and a contrast intensification parameter. The performance of the enhancement
process has been judged in terms of performance measures like Tenengrad and contrast improvement index. The combination of all the enhanced sub-images shows 35-45% improvement over the fuzzy based and histogram equalization based other techniques in the literature.

Keywords


Optimization, fuzzy logic, contrast enhancement.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.