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Learning OpenCV
book

Learning OpenCV

by Gary Bradski, Adrian Kaehler
September 2008
Beginner to intermediate
580 pages
20h 7m
English
O'Reilly Media, Inc.
Content preview from Learning OpenCV

Image Repair by Inpainting

Images are often corrupted by noise. There may be dust or water spots on the lens, scratches on the older images, or parts of an image that were vandalized. Inpainting [Telea04] is a method for removing such damage by taking the color and texture at the border of the damaged area and propagating and mixing it inside the damaged area. See Figure 9-9 for an application that involves the removal of writing from an image.

Inpainting: an image damaged by overwritten text (left panel) is restored by inpainting (right panel)

Figure 9-9. Inpainting: an image damaged by overwritten text (left panel) is restored by inpainting (right panel)

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 9-10 shows what happens when the damaged area is too large.

The prototype for cvInpaint() is

 void cvInpaint(
   const  CvArr* src,
   const  CvArr* mask,
   CvArr*        dst,
   double        inpaintRadius,
   int           flags
);
Inpainting cannot magically restore textures that are completely removed: the navel of the orange has been completely blotted out (left panel); inpainting fills it back in with mostly orangelike texture (right panel)

Figure 9-10. Inpainting cannot magically restore textures that are completely removed: the navel of the orange has been completely blotted out (left panel); inpainting fills it back in with mostly orangelike texture (right panel)

Here src is an 8-bit single-channel grayscale image or a three-channel color image to be repaired, and mask is an 8-bit single-channel image of the same size as ...

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Publisher Resources

ISBN: 9780596516130Errata Page