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Conditional Generative Adversarial Networks (GANs) for cross-domain image-to-image translation have made much progress recently [7, 8, 21, 12, 4, 18]. Depending on the task complexity, thousands to millions of labeled image pairs are needed to train a conditional GAN. However, human labeling is expensive, even impractical, and large quantities of data may not always be available. Inspired by dual...
In industrial production, the application of the on-line detection and recognition technology of capsule defects is more and more widely. The correct segmentation of the target capsule is essential for the feature extraction and accurate recognition. Because the difference between the oval transparent capsule and background is small and the image exists uneven illumination interference, common methods...
Spectroscopy, with the current 2D sensors, has been the study of the 4-dimension function F(x; y; t; l) that defines the intensity of light at the sensor location (x; y) at time t and at wavelength l. The goal of video rate spectroscopy is to capture, process, and display this function at reasonable discretized resolutions of each of the parameters x, y, t and l. Spectral imaging till date has been...
Interference-based optical image encryption has triggered much current attention due to its marked advantages, such as non-iterative operation. However, the precise alignment requirements of the phase-only masks in two different planes restrict the experimental verification. Few experimental results have been reported about the optical interference encryption. In this paper, we propose a holographic...
Extracting prior knowledge from previous high quality normal-dose computed tomography (NdCT) data for Bayesian reconstruction of current low-dose CT (LdCT) images has attracted great research interests recently. While most efforts focused on registering the previous NdCT data to the current LdCT reconstruction, this work investigated an alternative strategy by extracting the local structure-specific...
Low-dose X-ray computed tomography (CT) imaging is desirable for various clinical applications due to the growing concerns about excessive radiation exposure to the patients. One strategy to achieve low-dose CT imaging is to lower the number of projection views per rotation during data acquisition. However, the resulting image by the conventional filtered back-projection method may suffer from view-aliasing...
The imaging Fourier transform spectrometer (IFTS) carried on HJ-1A is the first spaceborne hyperspectral earth observation sensor in China. Shifts in the spectral channel center wavelengths of IFTS may occur after launch due to vibrations, and to changes in instrument temperature and pressure. In this paper, we described an improved on-orbit spectral calibration method, which is based on spectrum...
Statistical iterative reconstruction (SIR) algorithms have shown advantages over the conventional filtered back-projection method for low-dose computed tomography (CT) reconstruction. For the SIR algorithms, the regularization term plays a critical role on determining the performance. One commonly used regularization is the quadratic-form Gaussian Markov random field (MRF), which penalizes differences...
In single photon emission computed tomography (SPECT), the Poisson noise in sinogram data is one of the major degrading factors that jeopardize the quality of reconstructed images. The common strategy to reduce noise in SPECT images is to apply low-pass pre- or post-processing filters, which suppress the noise by attenuating the high frequency components that can contain valuable edge/detail information...
Previous works have demonstrated that the low-dose CT images could be reconstructed by minimizing the total variation (TV) or adaptive weighted total variation (AwTV) of the desired images incorporate data fidelity term. However, due to the piecewise constant assumption of TV model, the reconstructed images are frequently reported to suffer from the undesired patchy artifacts or stair-case effects...
We present an algorithm for curve skeleton extraction via Laplacian-based contraction. Our algorithm can be applied to surfaces with boundaries, polygon soups, and point clouds. We develop a contraction operation that is designed to work on generalized discrete geometry data, particularly point clouds, via local Delaunay triangulation and topological thinning. Our approach is robust to noise and can...
In this paper, a novel multifocus image fusion method based on region selection is proposed. The basic idea is to select sharply focused regions from source images and to combine them together to reconstruct the resultant image. Region Acutance as a kind of superior sharpness criterion is introduced here for region segmentation. In view of the inevitably errors of selection, morphological operations...
Single photon emission computed tomography (SPECT) could achieve the functional image of the organ of interest, so the diseases can be found much earlier. Cone-beam SPECT reconstruction can improve the photo density and spatial resolution of the reconstructed image. A simple method for cone beam reconstruction is to rebin the cone-beam projection data into 2D sinograms and use 2D reconstruction method...
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