DocumentCode :
693185
Title :
Adaptive linear fusion for image enhancement with hardware verification
Author :
Cheng-Hsiung Hsieh ; Yu-Sheng Lin ; Ching-Hua Liu ; Qiangfu Zhao
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
Volume :
03
fYear :
2013
fDate :
14-17 July 2013
Firstpage :
1142
Lastpage :
1146
Abstract :
In a previous paper in [I], we presented an approach to image enhancement where linear fusion scheme was employed. In the approach, only one input image is required and from the input image anther image is derived by histogram equalization. With the two images, a linear fusion is performed with a fixed weight. In this paper, a simple but effective mechanism is devised to determine an adaptive weight for the linear fusion. To justify the proposed approach, hardware verification is conducted and three scenarios are provided where low lux, high contrast, and normal cases are considered. Experimental results indicate that the proposed approach is feasible and promising in the real-world applications.
Keywords :
image enhancement; image fusion; adaptive linear fusion scheme; adaptive weight; fixed weight; hardware verification; high contrast; histogram equalization; image enhancement; low lux; Abstracts; Channel hot electron injection; Computational complexity; Hardware; Histograms; Imaging; Contrast enhancement; Histogram equalization; Image enhancement; Linear fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
Type :
conf
DOI :
10.1109/ICMLC.2013.6890763
Filename :
6890763
Link To Document :
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