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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...
In this paper, we intend to implement a class of fractional differential masks with high-precision. Thanks to two commonly used definitions of fractional differential for what are known as Grumwald-Letnikov and Riemann-Liouville, we propose six fractional differential masks and present the structures and parameters of each mask respectively on the direction of negative x-coordinate, positive x-coordinate,...
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