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Learning OpenCV, 2nd Edition
book

Learning OpenCV, 2nd Edition

by Adrian Kaehler, Gary Bradski
December 2014
Beginner to intermediate
575 pages
19h 37m
English
O'Reilly Media, Inc.
Content preview from Learning OpenCV, 2nd Edition
Inpainting
Inpainting works provided the damaged area is not too “thick” and enough of the original texture and color
remains around the boundaries of the damage.
Figure 6-27 shows what happens when the damaged area is too large.
Figure 6-26: Inpainting: an image damaged by overwritten text (left) is restored by inpainting (right)
The prototype for cv::inpaint() is
void cv::inpaint(
cv::InputArray src, // Input Image: 8-bit, 1 or 3 channels
cv::InputArray inpaintMask, // 8-bit, 1 channel. Inpaint non-zeros
cv::OutputArray dst, // Result image
double inpaintRadius, // Range to consider around pixel
int flags // Select NS or TELEA
);
Figure 6-27: Inpainting cannot magically restore textures that are completely removed: the navel of the
orange has been completely blotted out (left); inpainting fills it back in with mostly orangelike texture
(right)
Here src is an 8-bit single-channel grayscale image or a three-channel color image to be repaired, and
inpaintMask is an 8-bit single-channel image of the same size as src in which the damaged areas (e.g.,
the writing seen in the left panel of
Figure 6-26) have been marked by nonzero pixels; all other pixels are set to 0 in inpaintMask. The
output image will be written ...
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Publisher Resources

ISBN: 9781449331955Errata