Mastering Computer Vision with TensorFlow 2.x

Image inpainting using DCGAN

Image inpainting is the process of filling missing parts of an image or video based on information from neighboring points. The image inpainting workflow involves the following steps:

1. Having an image with missing parts in it.
2. Gathering pixel information of the corresponding missing parts. This is called a layer mask.
3. Feeding the neural network with images described in steps 1 and 2 to determine what part of the image needs to be filled in. This means the neural network is processed first with the image with the missing part and then with the layer mask.

4. The input image goes through a similar DCGAN, as explained previously (convolution and deconvolution). The layer mask allows the network to focus only on missing ...