In order to correct the non-uniformity (NU) of a single infrared (IR) image and optimize the result of details,a locally adaptive non-uniformity correction algorithm is proposed. According to the distribution character of the fixed pattern noise in infrared focal plane array,median histogram equalization non-uniformity algorithm based on Gaussian weights is used to realize single parameter correction of infrared image. Then all images are decomposed into patches,and each patch of images can adaptively select the most suitable correction parameter,and can realize detail optimization. The experiment results show that the proposed algorithm in root-mean-square error(RMSE),peak signal to noise ratio (PSNR) and the smooth of image is improved further compared with single parameter median histogram equalization non-uniformity correction algorithm,and it reserves more details of images,which provides a new method for non-uniformity correction.
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简献忠,陆睿智,郭强.改进的单幅红外图像局部自适应非均匀校正[J].激光与红外,2014,44(12):1344~1348 JIAN Xian-zhong, LU Rui-zhi, GUO Qiang. Modified locally adaptive non-uniformity correction algorithm for single infrared image[J]. LASER & INFRARED,2014,44(12):1344~1348