Fusion algorithm of EMCCD’s low-light-level images based on wavelet transform
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College of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
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Corresponding author:
ZHANG Wenwen, zhangww@mail.njust.edu.cn
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Received Date:
2013-07-04
Accepted Date:
2013-07-17
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Abstract
Because of different gain, the image content displayed by the electron multiplying charge coupled device (EMCCD) was different and the image had low contrast and narrow dynamic range. Meanwhile, the overall image was dark, fuzzy and whitish. An image fusion algorithm based on wavelet transform was put forward to apply into low-light-level images with different gain levels. Firstly, two groups of low-light-level images were acquired in the same scene with different gain level. Secondly, proper fusion rules were chosen based on low-light-level image's characteristics after wavelet transform. Finally, the images were fused by wavelet transform, high quality fusion image and the performance data of fusion image, such as entropy, standard deviation, average gradient were obtained. Results show that the fusion algorithm based on wavelet transform can make the fusion image with both low and high brightness scenery and enlarge the image's dynamic range and contrast. The image quality is effectively improved.
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