I read a few publications on the subject. Processing an image per pixel to generate a few effects seems to be straightforward.

But most of the literature is based on modelling brush strokes in paintings which are modeled as cubic B spline curves [1]. Do we have support for generating curves while processing an image?

[1] http://www.mrl.nyu.edu/publications/hertzmann-thesis/hertzmann-thesis-72dpi.pdf - Section 3. Fast and Loose Painterly Image Processing

On Saturday, December 13, 2014 8:55:11 PM UTC+5:30, Emmanuelle Gouillart wrote:

Hi Rishabh,

I don't think there is a generic enough algorithm that would do this
(each artist has her/his own specific style, and a specific algorithm
would have to be designed for every style I think).

Nevertheless, some of the functions in skimage can be used for this
purpose. For example,
http://scikit-image.org/docs/dev/auto_examples/plot_ncut.html shows how
to get a posterized, comics-like image.

You can also find geometric transformations in skimage.transform, if you
want to implement some distortion effect for example.
(http://scikit-image.org/docs/dev/auto_examples/applications/plot_geometric.html)

Hope you have fun with this project!
Emmanuelle

On Sat, Dec 13, 2014 at 07:16:54AM -0800, Rishabh Raj wrote:
> Hey,

> I'm working on a project in which the objective is to create a painting from a
> picture taken with a normal camera. This painting could be an oil painting or
> we could try and mimic some specific artist.

> I understand this might not be achievable in a very good way by just image
> processing itself but I'm curious about what is achievable with stroke and
> simple pattern recognition for a base result.

> Is there support in scikit-image along these lines? Any other inputs are
> welcome.

> Best,
> Rishabh