Title :
Bilateral filtering as a tool for image smoothing with edge preserving properties
Author_Institution :
Fac. of Ind. Technol., Nakhon Phanom Univ., Nakhon Phanom, Thailand
Abstract :
In this paper, we give a review on Bilateral filtering as a tool for image smoothing with edge preserving properties. Bilateral filtering is a combination of domain and range filtering. Domain filtering measures the geometric closeness between the neighborhood center and nearby points. Therefore, domain filtering acts as a gaussian filtering. In range filtering, the similarity between two pixels are measured in which similar pixel values are weighted as a high influence while discarding dissimilar ones. We give a review on traditional bilateral filtering. We also describe a modified bilateral filtering based on fuzzy membership function, the fuzzy bilateral filtering. In fuzzy bilateral filtering, the skin is smoothed while maintaining the edges and non skin area, therefore, a more beautiful face image can be achieved. We will demonstrate some of its applications especially on skin smoothing.
Keywords :
Gaussian processes; edge detection; fuzzy set theory; smoothing methods; Gaussian filtering; domain filtering; edge preserving properties; fuzzy bilateral filtering; fuzzy membership function; geometric closeness; image smoothing; nearby points; neighborhood center; range filtering; similarity measurement; skin smoothing; Abstracts; Adaptive filters; Filtering; Bilateral Filtering; Fuzzy Logic;
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
DOI :
10.1109/iEECON.2014.6925940