Digital image enhancement with fuzzy rule-based filtering

Author

Chowdhury, M. Mozammel Hoque ; Islam, Md Ezharul ; Begum, Nasima ; Bhuiyan, Md Al-Amin

Author_Institution

Dept. of Comput. Sci. & Eng., Jahangirnagar Univ., Dhaka

fYear

2007

fDate

27-29 Dec. 2007

Firstpage

1

Lastpage

3

Abstract

Image enhancement is a technique to improve the quality of an image. The aim of image enhancement technique is to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. This paper presents a new approach for image enhancement with fuzzy rule-based filtering. Compared to other non-linear techniques, fuzzy filter gives the better performance and is able to represent knowledge in a comprehensible way.

Keywords

filtering theory; fuzzy set theory; image enhancement; knowledge based systems; digital image enhancement; fuzzy rule-based filtering; fuzzy set theory; human viewers; image information interpretability; image information perception; Brightness; Colored noise; Digital filters; Digital images; Filtering; Fuzzy set theory; Humans; Image enhancement; Image processing; Image quality; Image enhancement; fuzzy filtering; knowledge-based representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and information technology, 2007. iccit 2007. 10th international conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4244-1550-2

Electronic_ISBN

978-1-4244-1551-9

Type

conf

DOI

10.1109/ICCITECHN.2007.4579400

Filename

4579400