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Proceedings Paper

An improved infrared image enhancement algorithm based on multi-scale decomposition
Author(s): Honghui Zhang; Haibo Luo; Xin-rong Yu; Qing-hai Ding
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Paper Abstract

Due to the restriction of infrared imaging component and the radiation of atmosphere, infrared images are discontented with image contrast, blurry, large yawp. Aimed on these problems, a multi-scale image enhancement algorithm is proposed. The main principle is as follows: firstly, On the basis of the multi-scale image decomposition, We use an edge-preserving spatial filter that instead of the Gaussion filter proposed in the original version, adjust the scale-dependent factor With a weighted information. Secondly, contrast is equalized by applying nonlinear amplification. Thirdly, subband image is the weighted sum of sampled subband image and subsampled then upsampled subband image by a factor of two. Finally, Image reconstruction was applied. Experiment results show that the proposed method can enhance the original infrared image effectively and improve the contrast, moreover, it also can reserve the details and edges of the image well.

Paper Details

Date Published: 24 November 2014
PDF: 7 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010P (24 November 2014); doi: 10.1117/12.2070296
Show Author Affiliations
Honghui Zhang, Shenyang Institute of Automation (China)
Haibo Luo, Shenyang Institute of Automation (China)
Xin-rong Yu, AVIC Jiangxi HongDu Aviation Industry Group Corp. Ltd. (China)
Qing-hai Ding, Equipment Academy of Air Force (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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