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
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;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030226