Share Email Print
cover

Proceedings Paper

Adaptive infrared-image details enhancement technology
Author(s): Shi-yong Guo; Yi Zhang; Lian-fa Bai; Qian Chen; Xing Pang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In order to surmount the infrared-image object differentiation difficulty caused by the blurred image edge, a kind of adaptive filter based infrared-image nonlinear edge enhancement technology was proposed in this paper. This technology integrates image nonlinear edge-sharpening and Multi-scale analyze method. The approach of Gauss pyramid structure can enhance detail information by using non-linear algorithms in different scales. The enhanced detail information is then added back to the original image iteratively. While saving the image edge information it can filter image noise and edge distortion caused by edge-sharpening and improve image’s clarity and SNR obviously. Gray scale grads was defined based on gray linear increment, image edge enhancement arithmetic can be real time realized, and has been applied in high performance thermal imager. As it is shown in experiments, this algorithm has practicality and potential application value in the field of infrared images contrast enhancement

Paper Details

Date Published: 24 November 2014
PDF: 5 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013A (24 November 2014); doi: 10.1117/12.2073166
Show Author Affiliations
Shi-yong Guo, Nanjing Univ. of Science and Technology (China)
Yi Zhang, Nanjing Univ. of Science and Technology (China)
Lian-fa Bai, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Xing Pang, 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)

© SPIE. Terms of Use
Back to Top