In addition, few effective hardware platforms have been proposed to implement corresponding NUC algorithms. Thus, this paper proposed an improved neural-network based NUC algorithm by the guided image filter and
,bstract Based on analy,ing the mechanism of the Hyper,Spectral CCD Imager' s non,uniformity and several non,uniformity correction algorithms. The method of tWo,point multi,section for Hyper,Spectral CCD Imager's non,uniformity correction Was presented. The tWo,point multi,section method has hig...
So non-uniformity correction (NUC) must be applied to infrared image created by IRFPA. By now non-uniformity correction algorithms can be divided into two categories that are reference-based correction algorithms [1], [2] and scene-based correction algorithms [3], [4], [5], [6], [7],...
Fig.5 Comparison of MSE between two algorithms 由图5 可见袁IRLMS算法和文中算法都有很好 的收敛特性袁对于运动的图像序列能够很快地收敛遥 但是IRLMS 算法由于缺乏对配准精度自适应的调 节参数更新速率和缺乏对前景运动位移的重新估 计袁 因此在配准精度降低和当场景中存在运动前景 时就会产生鬼影袁 同时 MSE ...
Aiming at solving the target fade-out and ghosting problems widely existed in the scene-based correction algorithms of infrared focal plane array(IRFPA),a new adaptive correction algorithm based on motion guidance is proposed.Firstly,a background image and bad-cell template is prepared for the real...
This method employs uniform blackbody as reference irradiance sources to calculate the correction parameter. The advantages of these methods lie in its simplicity and low computational complexity. Thus, it is very suitable to implement this kind of algorithms on the embedded hardware platform. For ...
Current non-uniformity correction algorithms for DoFP are difficult to adapt to changes in integration time and perform poorly in low-polarization scenarios. Analyzing the characteristics of DoFP, formulating a pixel response model, and introducing an adaptive non-uniformity correction algorithm tailored ...
every detection element's responsivity of infrared focal plane arrays(IRFPA) is different,which results in non-uniformity of IRFPA.So non-uniformity correction(NUC) is an important technique for IRFPA.The traditional NUC algorithms based on neural network were analyzed in this study.And a new ...
Various methods have been devised to detect and correct for non-uniformity in MRI data sets; however, few studies have compared the performance of different non-uniformity-correction (NUC) algorithms on standardized sets of brain images. Moreover, the evaluation of NUC algorithms is not ...
Interactive non-uniformity correction (NC) and interactive intensity standardization (IS) require sample tissue regions to be specified for several different types of tissues. Inter