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This work presents a novel computed tomography reconstruction method for few‐view problem based on a compound method. To overcome the disadvantages of total variation (TV) minimization method, we use a high‐order norm coupled within TV and the numerical scheme for our method is given. We use the root mean square error as a referee. The numerical experiments demonstrate that our method achieves better...
Recently least square estimator of L2 norm minimization and L1 norm minimization estimator are two popular algorithms in super resolution reconstruction. Thus in this paper, the pros and cons of L1 norm and L2 norm estimator are first analyzed, then they are weighted and combined, and adopting an approximate total variation regularization method, we proposed a weighted super resolution reconstruction...
The weaknesses between L1 norm minimization estimator and L2 norm minimization estimator in the traditional super resolution reconstruction problem are analyzed. In this paper, L1 norm and L2 norm are weighted and combined to measure the data fidelity term, and based on an approximate total variation regularization method, a robust weighted and combined super resolution reconstruction algorithm is...
Variety of facial pose and expression will affect result of face recognition. Traditional methods analyze facial pose and expression through every pixel of image, on the contrary, the paper analyzes pose and expression through geometric relationship among images. The paper uses locally linear embedding (LLE) which computes low dimensional, neighborhood preserving embedding of high dimensional data...
Based on the geometry features of lunar terrain, this paper treats lunar terrain reconstruction as a surface reconstruction problem. We define an energy functional model consisting of local energy term and smooth energy term for lunar terrain reconstruction. The solution to minimize the functional (by partial differential equations) is defined as the optimal surface. In the smooth energy term, we...
Considering both low signal noise ratio (SNR) and uneven sample interval among slices of ultrasonic image, a new algorithm is proposed in this paper. It realized the reconstruction of three-dimensional (3D) vein surface for ultrasonic cervix images. It makes use of methods of image and graphics processing and integrates properties of ultrasonic image. Firstly, an available loss technique is used to...
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