The autoencoder would take the grayscale image as input and use its knowledge of the relationships between grayscale and color pixels to generate a color version of the image. This project could have ...

Contribute to lougau92/Autoencoder-for-image-coloring development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in Product GitHub Copilot. Write better ...

We propose a convolutional autoencoder neural network for image classification in YCbCr color space to reduce computational complexity. We first learned local image features from image patches in ...

This image provides a complete visual guide to the autoencoder neural network, featuring five illustrations that detail each stage of the data encoding and decoding process. It serves as an ...