DocumentCode
128599
Title
Exposure fusion via textural and color transform
Author
Hailian Wang ; Xiaoguang Li ; Li Zhuo
Author_Institution
Signal& Inf. Process. Lab., Beijing Univ. of Technol., Beijing, China
fYear
2014
fDate
9-11 June 2014
Firstpage
1183
Lastpage
1188
Abstract
Due to the low dynamic range of image capture devices, a single still image is usually insufficient to represent a high contrast scene. Exposure fusion can enhance the dynamic range of an image, so that it can display both the details in the bright and dark regions. A novel exposure fusion method is proposed in this paper. Both the textural and color transform are introduced in our algorithm to preserve the details and color information in the resulting image. Experimental results show that the proposed method outperforms the compared algorithms.
Keywords
image colour analysis; image enhancement; image fusion; image texture; transforms; color transform; exposure fusion; image capture devices; image dynamic range enhancement; still image; textural transform; Dynamic range; Estimation; Heuristic algorithms; Image color analysis; Image segmentation; Indexes; Transforms; Exposure fusion; color transform; textural transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4316-6
Type
conf
DOI
10.1109/ICIEA.2014.6931345
Filename
6931345
Link To Document