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Hace 1 día · Image Blurring (Image Smoothing) Image blurring is achieved by convolving the image with a low-pass filter kernel. It is useful for removing noise. It actually removes high frequency content (eg: noise, edges) from the image. So edges are blurred a little bit in this operation (there are also blurring techniques which don't blur the edges).
Hace 22 horas · Shown are the anisotropic volume (8 nm × 8 nm × 48 nm resolution), vEMDiffuse-i ... We rendered the 3D visualization with Imaris, automatically filtering out some small regions.
Hace 4 días · The main goal of using anti-aliasing filters is to remove unwanted signals. Here are the four parameters required to achieve anti-aliasing: Amount of attenuation or ripple on the passband. Steepness around the transition region. Different frequencies of phase relationship. Amount of the desired filter rolloff.
Hace 2 días · Compared with conventional schemes, our novel filtering method effectively suppresses the diffraction noise, ... amplitude controlled anisotropic edge-enhanced imaging. ...
Hace 2 días · Periodic noise can be reduced significantly via frequency domain filtering. On this page we use a notch reject filter with an appropriate radius to completely enclose the noise spikes in the Fourier domain.
Hace 3 días · The fastest method for approximating a Gaussian filter is a trivial Stack blur with a relatively high error, so this paper recommends using the second-order Vliet–Young–Verbeek filter and quantized Bell blur and running sums as more accurate and still computationally efficient alternatives. Gaussian filtering, being a convolution with a Gaussian kernel, is a widespread technique in image ...
Hace 3 días · Film, Analytical Anisotropic Algorithm (AAA), and AcurosXB (AXB) dose distributions taken from the 3D breast surface and transformed into 2D. These skin doses are taken from the surface voxel contour of the skin. Black outline shows the region of contact between the breast and the cradle.
