This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

You no longer need to resize an image in Photos or Paint to reduce its file size. Windows 11's new native feature does it for ...

intoPIX’s JPEG XS and TicoRAW technologies offer ultra-low latency (<1ms), low-power, and mathematically lossless and near-lossless compression in compliance with ISO standards. Designed for use ...

intoPIX software solutions compress image data by 5 to 10 times, reducing cloud storage costs and upload times. OEMs and Tier 1s can iterate more rapidly, improving model performance and ...

Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...

New satellite images from Capella Space, a satellite company, took a before-and-after view of the airfield located in Irkutsk, a Siberian region. Satellite picture courtesy of Maxar Technologies ...

Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.

Abstract: The growing use of hyperspectral images demands efficient compression techniques to handle their extensive spectral data. However, current methods are constrained by their inability to adapt ...

Abstract: Neural image compression (NIC) usually adopts a predefined family of probabilistic distributions as the prior of the latent variables, and meanwhile relies on entropy models to estimate the ...

We compare our SegPIC with previously well-performing methods. Visualization of the reconstructed images kodim04 and kodim24 in Kodak. The metrics are (PNSR↑/bpp↓). It shows that our SegPIC can ...