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aGIToz / PyInpaint Public

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A lightweight image inpainting tool in python.

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PyInpaint Installation Usage Results Video demonstration Params
description and usage

README.md

 PyInpaint

A lightwieght inpainting tool for images written in python. Basically
the inpainting is achieved using harmonic extension on a non-local
graph created using image to be inpainted. image

  * f(u) is the signal (rgb values) on the node u.
  * \Delta_{w,p} is the weighted graph p Laplacian.
  * A is the area to be inpainted.
  * dA is the area where signal is given as g(u).

For p=2 the solution to the above equation yields non-local means.
image

  * w(u,v) is the weight on the edge from node u to v.
  * N(u) is the set of neighbors of node u.
  * d(u) is the degree at node u.

 Installation

pip install pyinpaint

 Usage

  * Command line

pyinpaint --org_img "path/to/original/image" --mask "path/to/mask"
# pyinpaint --org_img  --mask  --ps --k_boundary --k_search --k_patch

The output is an inpainted image at the path of org_img.

  * Python

from pyinpaint import Inpaint
inpaint = Inpaint(org_img, mask)
inpainted_img = inpaint()

#inpaint = Inpaint(org_img, mask, ps)
#inpainted_img = inpaint(k_boundary, k_search, k_patch)

This returns a numpy array inpainted_img.

 Results

image image

 Video demonstration

This video shows:

  * How to create an inpainting mask in Gimp.
  * How to inpaint using command line.

 Params description and usage

The following description of the parameters is useful to gain
speed-ups and to inpaint low spatial frequency texture images.

  * ps: Patch size, it is used for creating the non-local graph. The
    default value is 7. To gain speed-up try with 3 or 5. Ideally it
    should be an odd value. For images with low spatial frequency
    texture, should be kept high like 11, 13 or 15 ...
  * k_boundary: This is used to determine the nodes at the
    intersection of A and dA. The default is 4. To gain speed-up try
    changing to 8 or 16.
  * k_search: This is used for searching the non-local neighbors of a
    node. The default is 1000. For large size images it should be
    increased. To gain speed-up try with 300, 400, 500.
  * k_patch: The knn value for the non-local graph construction. The
    default is 5. Try 3 for speed-up. Try larger value to increase
    the resolution.

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A lightweight image inpainting tool in python.

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