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As discussed in [44], PnP solutions are easily affected by noise, and this manifests itself as an unpleasant jittering of the camera position and hence rendered imagery.
The boundary methods evaluate the cost only on Γ and, hence, they are influenced by local data properties and easily affected by noise.
Although these methods have good performance in the specific areas, most of them are easily affected by noise and variations of lens magnification and light intensity index, which is an important problem for industrial image measurement.
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Obviously, in the case of sparse projection angles, an idea of using FBP algorithm and blind image restoration (BIR) is still easily affected by the noise.
However, image thinning is sensitive to the contour as well as its orientation of the image object, which can be easily affected by image noise.
SUV is a single voxel measurement, with the highest radiotracer concentration within the VOI, and so it may not reflect the heterogeneous nature of the tumor and it is easily affected by statistical noise and voxel size [ 29].
In practical image measurement system, the light intensity index may be easily affected by vibration and noise, which will influence on the image definition evaluation values and degrade the performance of image auto-focusing.
The main problem in cell imaging using the fluorescent nanoprobes is that the fluorescence signal is easily affected by the background noises caused by the cells, matrix, and the nonspecific scattering lights.
The local structure of the dataset may be easily affected by some factors such as noise, illumination or corruption.
In the practical image measurement system, the image auto-focusing may be easily affected by the environmental factors especially the noise, the lens magnification, and the light intensity index, and we also test the robustness of the proposed image auto-focusing algorithm to these two variations.
In practical image measurement system, the lens magnification may be easily affected by some factors such as vibration and noise, which will degrade the performance of image auto-focusing.
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