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Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 1 Details of blurring processes

From: On some accelerated optimization algorithms based on fixed point and linesearch techniques for convex minimization problems with applications

Scenarios Kernel matrix
I Gaussian blur of filter size 9 × 9 with standard deviation σ̂ = 10
II Out-of-focus blur (disk) with radius r = 6
III Motion blur specifying with motion length of 21 pixels and motion orientation \(11^{o} \)
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