DocumentCode :
1986915
Title :
K enhancement of low contrast images using fuzzy techniques
Author :
Sudhavani, G. ; Srilakshmi, M. ; Sravani, S. ; Rao, P. Venkateswara
Author_Institution :
Dept. of ECE, JC Coll. of Eng., Guntur, India
fYear :
2015
fDate :
2-3 Jan. 2015
Firstpage :
286
Lastpage :
290
Abstract :
Most of images like medical images, satellite images and even real life photographs may suffer from poor contrast due to the inadequate or insufficient lighting during image acquiring. So there is a necessity of contrast enhancement of images. In this paper three enhancement techniques namely fuzzy rule based contrast enhancement, contrast enhancement using intensification (INT) operator, and contrast enhancement using fuzzy expected value (FEV) are presented for the low contrast grayscale images. Comparative analysis of these enhancement techniques is carried out by means of index of fuzziness (IOF) and processing time.
Keywords :
fuzzy set theory; image enhancement; FEV technique; fuzzy expected value; grayscale images; index of fuzziness; intensification operator; low contrast images enhancement; medical images; real life photographs; satellite images; Educational institutions; Fuzzy sets; Histograms; Image edge detection; Indexes; Manganese; Image enhancement; contrast enhancement; fuzzifiers; fuzzy expected value; fuzzy logic; index of fuzziness; intensification operator; membership function; processing time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on
Conference_Location :
Guntur
Type :
conf
DOI :
10.1109/SPACES.2015.7058267
Filename :
7058267
Link To Document :
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