8 September 2011 Adaptive infrared image enhancement algorithm based on improved UM technique
Author Affiliations +
Abstract
Infrared image enhancement is an important problem of infrared image processing. It gives rise to noise amplification in smooth areas and excessive overshoot in detail areas in the process of classical UM(unsharp masking) algorithm for infrared image enhancement. Aiming at above drawbacks, an adaptive method based on improved UM algorithm for infrared image enhancement is proposed in the paper. Our approach employs an adaptive Gauss-Newton filter to adjust the contrast enhancement parameters in different local areas, making sure that medium-contrast details are enhanced as well as large-contrast details in the process of contrast enhancement, and avoiding noise amplification, detail sharpening distortion and margin overshoot. Experiments show that the algorithm proposed in the paper is effective to improve the SNR and enhance the details of infrared image.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin-sai Wang, Xin-sai Wang, Qiang Wu, Qiang Wu, Wei-ping Wang, Wei-ping Wang, Ming He, Ming He, Yu Liu, Yu Liu, } "Adaptive infrared image enhancement algorithm based on improved UM technique", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819340 (8 September 2011); doi: 10.1117/12.900979; https://doi.org/10.1117/12.900979
PROCEEDINGS
7 PAGES


SHARE
Back to Top