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Image blurring routines

Project description

#Pyblur ##Python image blurring routines. Pyblur is a collection of simple image blurring routines.<br> It supports Gaussian, Disk, Box, and Linear Motion Blur Kernels as well as the Point Spread Functions used in [Convolutional Neural Networks for Direct Text Deblurring](http://www.fit.vutbr.cz/~ihradis/CNN-Deblur/).<br> Functions receive a PIL image as input, and return another as output.<br> Kernel sizes can either be specified as input, or randomized.<br> Finally, there’s a RandomizedBlur function that applies a random type of blurring kernel with a random width/strength.

pypi: [https://pypi.python.org/pypi?:action=display&name=pyblur&version=0.2.3](https://pypi.python.org/pypi?:action=display&name=pyblur&version=0.2.3)

##Installation >From Pip: pip install pyblur`<br> Or alternatively `git clone this repo and run locally

##Usage
from pyblur import *

###Gaussian Blur Blurs image using a Gaussian Kernel

blurred = GaussianBlur(img, bandwidth)

Randomized kernel bandwidth (between 0.5 and 3.5)

blurred = GaussianBlur_random(img)

###Defocus (Disk) Blur Blurs image using a Disk Kernel

blurred = DefocusBlur(img, kernelsize)

Randomized kernel size (between 3 and 9)

blurred = DefocusBlur_random(img)

###Box Blur Blurs image using a Box Kernel

blurred = BoxBlur(img, kernelsize)

Randomized kernel size (between 3 and 9)

blurred = BoxBlur_random(img)

###Linear Motion Blur Blurs image using a Line Kernel

blurred = LinearMotionBlur(img, dim, angle, linetype)

####Parameters * dim Kernel Size: {3,5,7,9} <br> * angle Angle of the line of motion. Will be floored to the closest one available for the given kernel size. <br> * linetype = {left, right, full} Controls whether the blur kernel will be applied in full or only the left/right halves of it. <br>

Randomized kernel size, angle, and line type

blurred = LinearMotionBlur_random(img)

### PSF Blur Blurs image using one of the Point Spread Functions (Kernels) used in:<br> [Convolutional Neural Networks for Direct Text Deblurring](http://www.fit.vutbr.cz/~ihradis/CNN-Deblur/)

blurred = PsfBlur(img, psfid)

####Parameters * psfid Id of the Point Spread Function to apply [0, 99] <br>

Randomized kernel size, angle, and line type

blurred = PsfBlur_random(img)

###Random Blur Randomly applies one of the supported blur types, with a randomized bandwidth/strenght.

blurred = RandomizedBlur(img)

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