In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. Having clear and processed images or videos is very important in any computer vision ...

To solve this problem, we propose a new layered image compression framework with encoder-decoder matched semantic segmentation (EDMS). And then, followed by the semantic segmentation, a special ...

This repository contains the implementation of an Encoder-Decoder model for image denoising using the MNIST dataset. The model is trained with varying levels of Gaussian noise and bottleneck ...

When it comes to image compression in digital cameras ... we also adopted the entropy parameter (EP) module, the context model (CTX) for arithmetic encoder/decoder (AE/AD), synthesis transform and ...

Abstract: Image compression, which aims to represent an image with less storage space, is a classical problem in image processing. Recently, by training an encoder-quantizer-decoder network, deep ...

Along with the rise of the modern World Wide Web came the introduction of the JPEG image compression standard ... improve JPEG with Jpegli, a new encoder and decoder library that promises to ...