Autoencoder Image Compression and Reconstruction This repository demonstrates a simple autoencoder model for compressing and reconstructing images. The autoencoder is built using TensorFlow and Keras ...

The autoencoder managed to reduce the dimensions of the images to 15x15, which represents a used storage space of only 22% of the original space occupied by each original image. After the compression, ...

This This article introduces a novel approach to image compression through the utilization of autoencoders, a class of neural networks adept at learning to distill an image's essential attributes and ...

Partially decoding images in this way is difficult for previous autoencoder-based methods. To test COIN’s performance, the researchers performed experiments on the Kodak image dataset comprising 24 ...