What are Local and Global Inpainting Techniques in Image Processing?

1. What is inpainting in image processing?
2. What is inpainting in computer vision?
3. Why is image inpainting important?
4. What is semantic image inpainting?

What is inpainting in image processing?

Image inpainting refers to restoration methods used to remove damage or unwanted objects from an image, in a natural manner, such that a neutral observer would not notice any changes and consider the result as being the original image.

What is inpainting in computer vision?

In a computer vision and graphics context, inpainting is a method that interpolates neighbouring pixels to reconstruct damaged, or defective, portions of an image without any noticeable change on the restored regions when visually compared with the rest of the image.

Why is image inpainting important?

Image inpainting was applied on old images in order to remove scratches and enhance damaged images. Now, it is used for removing artifact objects that can be added to the images by filling the target region with estimated values.

What is semantic image inpainting?

Semantic image inpainting is a challenging task where large missing regions have to be filled based on the available visual data. Existing methods which extract information from only a single image generally produce unsatisfactory results due to the lack of high level context.