#Image inpaint Patch
#Image inpaint series

In some cases for the latter one, there have been good results with traditional systems.

the missing regions require the inpainting system to infer properties of the would-be-present objects.

the surrounding regions might not have suitable information (read pixels) to fill the missing parts.

It’s worth noting that these techniques are good at inpainting backgrounds in an image but fail to generalize to cases where: To inpaint a particular missing region in an image they borrow pixels from surrounding regions of the given image that are not missing.

#Image inpaint Patch

First, let’s introduce ourselves to the central themes these techniques are based on - either texture synthesis or patch synthesis. In this section, we are going to discuss two of them. Similarly, there are a handful of classical computer vision techniques for doing image inpainting. Before Single Shot Detectors (SSD) came into existence, object detection was still possible (although the precision was not anywhere near what SSDs are capable of). There is an entire world of computer vision without deep learning.

Doing image inpainting: The traditional way

Now, that we have some sense of what image inpainting means (we will go through a more formal definition later) and some of its use cases, let’s now switch gears and discuss some common techniques used to inpaint images (spoiler alert: classical computer vision). It’s safe enough to admit that it is indeed a challenging task. Producing images where the missing parts have been filled with bothvisually and semantically plausible appeal is the main objective of an artificial image inpainter. Modern image inpainting techniques are capable of handling this gracefully as well. Due to over-compression, it is very likely that certain parts of the video can get corrupted sometimes.

#Image inpaint series

Image inpainting can also be extended to videos (videos are a series of image frames after all). Having the image inpainting function in there would be kind of cool, isn’t it? Now, think about your favorite photo editor. Image inpainting can be immensely useful for museums that might not have the budget to hire a skilled artist to restore deteriorated paintings. Image inpainting can be a life savior here. This would be the last thing you would want given how special the photograph is for you. Imagine having a favorite old photograph with your grandparents from when you were a child but due to some reasons, some portions of that photograph got corrupted. Fig 2: Image inpainting results gathered from NVIDIA’s web playground