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Filling the gaps using image inpainting

a) Input images with missing regions, b) DFT of first stage reconstruction by the authors' deconvolution network, c) image inpainting results (after the second stage) of the proposed approach, and d) ground truth (GT) image. The last column shows the prediction of the missing region obtained from the new method and original pixel values for the same region in the GT image. Credit: Hiya Roy et al.

Image inpainting is a computer vision technique in which pixels missing from an image are filled in. It is often used to remove unwanted objects from an image or to recreate missing regions of occluded images. Inpainting is a common tool for predicting missing image data, but it's challenging to synthesize the missing pixels in a realistic and coherent way.

Researchers at the University of Tokyo have presented a frequency-based inpainting method that enables the use of both frequency and spatial information ...

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