Our model employs an encoder-decoder architecture with a novel streamlined iterative ... and computational efficiency for detecting tampered text in lossless compression images.

In this paper, we propose a frequency-aware learned image compression network based on channel-wise attention and Restormer. In encoder, we perform locality-aware encoding based on window-based ...

264/AVC video compression ... 264/AVC encoder core capable of encoding a 1920x1080 video stream in real time at 30 frames per second (HDTV 1080p). A very favorable comparison with the JM 8.6 software ...

This project implements an encoder-decoder architecture using PyTorch to reconstruct images from the MNIST dataset. The model is trained to minimize the Mean Squared ...

The JPEG2K-E core from Alma Technologies is a still image and video encoder that implements Part 1 of the JPEG 2000 standard. It offers up to 16-bit per component Numerically Lossless and Lossy ...

Next, the cw-CST data of each channel is reconstructed into a two-dimensional image (cw-CST image) based on the spatial distribution of electrodes to capture the spatial activation patterns of ...

From a streamlined image editor that prioritizes precision to a refined generation model delivering unparalleled realism, these features are more than just upgrades—they’re tools designed to ...

A newly developed A.I. model is based on 40 years of vocalizations from a community of Atlantic spotted dolphins. Google Dolphins are clever communicators. The animals use complex clicks ...