DocumentCode
3447842
Title
A novel image enhancement method using local Gamma correction with three-level thresholding
Author
Jinfang Shi ; Yong Cai
Author_Institution
Sch. of Manuf. Sci. & Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
Volume
1
fYear
2011
fDate
20-22 Aug. 2011
Firstpage
374
Lastpage
378
Abstract
Uneven illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an enhancement method using local Gamma correction with three-level thresholding. First, three-level thresholding is used to segment the image based on maximum fuzzy entropy. It can make it possible to segment the image into three gray levels (dark, medium tone, and bright). Then, local Gamma correction is applied to the three levels respectively. Finally, the image by Gamma correction is linear stretched with saturation. The experiment results show that the proposed method gives good performance.
Keywords
fuzzy set theory; image colour analysis; image enhancement; image segmentation; maximum entropy methods; gray level; illumination effect; image enhancement; image quality; image segmentation; local gamma correction; maximum fuzzy entropy; three-level thresholding; Color; Entropy; Histograms; Image color analysis; Image enhancement; Image segmentation; Lighting; image enhancement; local Gamma correction; three-level thresholding; uneven illumination;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8622-9
Type
conf
DOI
10.1109/ITAIC.2011.6030226
Filename
6030226
Link To Document