During one shot, the moving trail of the object can be always regarded as straight and consecutive, and the defocus phenomenon is related to Gaussian blur. Therefore, a parameter model containing three parameters can describe the blur. First, we estimate a rough blur kernel using L1 prior ...
Gaussian Filter Gradient Magnitude Gradient Phase Harris Corner Detection Non-Maximum Suppression: Threshold: Histogram Computation Histogram Equalization HOG HoughLines Preprocessing for Deep Neural Networks Pyramid Up Pyramid Down InitUndistortRectifyMapInverse InRange Integral Image ISP...
NonuniformBlur A very fast approximation to large-kernel Gaussian blur with nonuniform blur radii, by making use of box-filtered mip maps (theoratically related to Haar wavelet tranforms). The mathematical model can be found in the PDF file. ...
Performance Note:A Gaussian kernel creates a higher-quality blur but if performance is a concern, use the Box kernel because it uses less calculations. Applies to ProductVersions .NET Framework3.0, 3.5, 4.0, 4.5, 4.5.1, 4.5.2, 4.6, 4.6.1, 4.6.2, 4.7, 4.7.1, 4.7.2...
Gets or sets a value representing the curve that is used to calculate the blur. C# 複製 public System.Windows.Media.Effects.KernelType KernelType { get; set; } Property Value KernelType A KernelType representing the curve that is used to calculate the blur. The default is Gaussian. Appli...
为了改善模型的泛化性和鲁棒性,本文提出的KMSR算法从模糊核建模 (Blur-kernel modeling) 的角度来增强模型对于真实世界中模糊核的学习性能。主要包括两个环节,分别是:1. 使用GAN建立kernel pool来扩充数据集;2. 利用经过kernel强化的数据集来训练Super-resolution模型。文中做了很多的对比试验,验证了KMSR技术的有效...
Fast GPU deNoise spatial filter, with circular gaussian kernel, full configurable - BrutPitt/glslSmartDeNoise
Zu Plan hinzufügen Freigeben über Facebookx.comLinkedInE-Mail Drucken 6.112 KernelTypeSyntax Artikel 27.06.2023 1 Mitwirkender Feedback [values] Box A simple blur created with a square distribution curve. Gaussian A distributed curve that creates a smooth distribution for a blur....
Note that the blur kernel is initialized as an isotropic Gaussian kernel with width s (i.e., the 1st iteration), where s is the scale factor. From this figure, we can see that the kernel is gradu- ally adjusted toward the ground truth. After 300 iter...
Currently, we use the Gaussian radial basis function,phi(P) = w * exp( -0.5 * ((P - p) / r)^2 )where P is the particle position, p is the sample position, r is the radius and w is the weight.At each sample, the scalar field value is then computed as the sum of each ...