demo - source
Gaussian filtering is highly effective in removing Gaussian noise from the image. If you want, you can create a Gaussian kernel with the function, cv2.getGaussianKernel. The above code can be modified for Gaussian blurring.
![Gaussian blur opencv Gaussian blur opencv](/uploads/1/2/5/6/125695465/595531744.png)
Photoshop Gaussian Blur Tutorial
Optimized separable gaussian blurs for GLSL. This is adapted from Efficient Gaussian Blur with Linear Sampling.
Example
The function blurs in a single direction. For correct results, the texture should be using
gl.LINEAR
filtering.The module provides three levels of 'taps' (the number of pixels averaged for the blur) that can be required individually. The default is 9.
Since this is separable, you will need multiple passes to blur an image in both directions. See here for details or the demo for an implementation.
Install
Use npm to install and glslify to consume the function in your shaders.
Usage
vec4 blur(sampler2D image, vec2 uv, vec2 resolution, vec2 direction)
Blurs the
image
from the specified uv
coordinate, using the given resolution
(size in pixels of screen) and direction
-- typically either [1, 0]
(horizontal) or [0, 1]
(vertical).Returns the blurred pixel color.
Further Optimizations
This can be further optimized on some devices (notably PowerVR) by using non-dependent texture reads. This can be done by calculating the texture coordinates in the vertex shader, and passing them as varyings to the fragment shader. This is left as an exercise for the reader to keep this module simple. You can read more about it here.
Djay pro windows with pioneer cdjs. Fixed issues when recording samples on some machines.
License
Gaussian Blur Matrix
MIT, see LICENSE.md for details.