Computational Photography

the inpainting algorithm

Definition at line 71 of file photo.hpp.

Transforms a color image to a grayscale image.

It is a basic tool in digital printing, stylized black-and-white photograph rendering, and in many single channel image processing applications CL12 .

Parameters:

src	Input 8-bit 3-channel image.
grayscale	Output 8-bit 1-channel image.
color_boost	Output 8-bit 3-channel image.

This function is to be applied on color images.

Restores the selected region in an image using the region neighborhood.

Parameters:

src	Input 8-bit 1-channel or 3-channel image.
inpaintMask	Inpainting mask, 8-bit 1-channel image. Non-zero pixels indicate the area that needs to be inpainted.
dst	Output image with the same size and type as src .
inpaintRadius	Radius of a circular neighborhood of each point inpainted that is considered by the algorithm.
flags	Inpainting method that could be one of the following: **INPAINT_NS** Navier-Stokes based method [Navier01] **INPAINT_TELEA** Method by Alexandru Telea Telea04 .

The function reconstructs the selected image area from the pixel near the area boundary. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. See <http://en.wikipedia.org/wiki/Inpainting> for more details.

Note:

• An example using the inpainting technique can be found at opencv_source_code/samples/cpp/inpaint.cpp
  • (Python) An example using the inpainting technique can be found at opencv_source_code/samples/python/inpaint.py