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Proceedings Paper

Novel image detail enhancement technology for high dynamic range infrared detector
Author(s): Ning Liu; Caigao Zhu
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Paper Abstract

In this paper, we propose a novel image detail enhancement technology which is well solved the problem of how to suppress the noise and enhance the detail at the same time of the infrared image. This technology is based on the layer separation idea. In nowadays, this idea is studied by many researchers, and many detail enhancement algorithms have been come up through this idea such as the bilateral filter for detail enhancement. According to our research, these algorithms although have the advantages of enhancing the detail without enhancing the noise, they also have the disadvantages of massive calculation, low speed and the worst is the gradient flipping effect which cause the enhanced image distorted. Our solution is based on the Guided Image Filter (GIF) to deal the separated detail layer of an image. The gradient flipping effect will be greatly suppressed with the priority that the GIF is a linear filter. Which means that the processed image will become much closer to the original image. We determine an adaptive weighting coefficient as the filter kernel. After that, we compress the base component into the display range by our modified histogram projection and enhance the detail component using the gain mask of the filter weighting coefficient. At last, we recombine the two parts and quantize the result to 8-bit domain. Experimental verification and detailed realization have been provided in this paper. We also have done significant comparison between our method and the proposed algorithm to show the superiority of our algorithm.

Paper Details

Date Published: 24 November 2014
PDF: 15 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010J (24 November 2014); doi: 10.1117/12.2069802
Show Author Affiliations
Ning Liu, Nanjing Xiaozhuang Univ. (China)
Caigao Zhu, Nanjing Univ. of Science and Technology (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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