Title :
Image fusion based on regional energy and standard deviation
Author :
Su-xia, Xing ; Tian-hua, Chen ; Jing-xian, Li
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
Image fusion technology of infrared and visible light could enhance the driver´s visual effects in low visibility circumstance, and reduce the probability of the traffic accidents. Focused on the application of wavelet transform in image fusion, a image fusion method was proposed based on a regional energy and standard deviation for the infrared and visual light images. In this method, low-frequency approximation component of wavelet transform were obtained by a regional energy-weighted fusion rule, and three high-frequency details components were composed by utilizing the regional standard deviation-weighted fusion rule. Through the two groups of infrared and visual light image fusion experiments show that: the standard deviation of the image produced by the method increased 41.8% and 67.2% and the average brightness increased from 34.6% to 55.1% compared with simple method, respectively.
Keywords :
approximation theory; image enhancement; image fusion; infrared imaging; probability; wavelet transforms; driver visual effect; energy-weighted fusion rule; infrared light image fusion; low-frequency approximation component; regional energy; standard deviation-weighted fusion rule; traffic accident probability; visual light image fusion; wavelet transform; Approximation methods; Brightness; Image fusion; Signal processing algorithms; Wavelet coefficients; image fusion; infrared image; standard deviation; visual enhancement; wavelet transform;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555262
