Quantized Auto-Encoder-Based Image Compression This repository contains the implementation of a quantized auto-encoder for image compression using PyTorch, along with scripts for training, testing, ...

In recent years, the layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network to reconstruct ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model.

README Image-Captioning-using-Encoder-Decoder System ABSTRACT: This paper presents an image captioning model that combines a Convolutional Neural Network (CNN) as an encoder to extract visual features ...

In the picture below, this property is shown with the ability of the re-trained decoder (g 2) to decode the bitstream generated by the baseline encoder (f 1).

FIGURE 1. The proposed joint compression and denoising (JICD) framework. AE/AD represent arithmetic encoder and decoder, respectively. Cm and EP stand for the context model and entropy parameters, ...

In recent years, the layered image compression is demonstrated to be a promising direction, which encodes a compact representation of the input image and apply an up-sampling network to reconstruct ...