1 November 2016 An infrared image enhancement algorithm based on HVS
Author Affiliations +
Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101572D (2016) https://doi.org/10.1117/12.2246829
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China
Abstract
Because the infrared images have the disadvantage of low contrast and fuzzy edges, it is not suitable for us to observe them, so it is necessary to first make enhanced processing before recognition. Though the existing enhancement methods do not take into account the characteristics of HVS, the visual effect of the processed images is not good. Therefore, the paper proposes an enhancement algorithm of infrared images that combine multi-resolution wavelet transform with Retinex theory, it blends with the characteristics of HVS in order to make high-frequency details of infrared images strengthen and illumination uniformity strength and the brightness of IR images moderate. Through experimental results and data analysis, it not only improves the infrared images of low contrast and fuzzy detail, but also suppresses the noise in images to strengthen the overall visual effect of the infrared images.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rongkun Xue, Rongkun Xue, Wei He, Wei He, Jiahui Liu, Jiahui Liu, Yufeng Li, Yufeng Li, } "An infrared image enhancement algorithm based on HVS", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101572D (1 November 2016); doi: 10.1117/12.2246829; https://doi.org/10.1117/12.2246829
PROCEEDINGS
8 PAGES


SHARE
Back to Top