Determining complete atomic structures directly from microscopy images remains a long-standing challenge in materials science. MicroscopyGPT is a vision-language model (VLM) that leverages multimodal ...

These deep learning-based image compression methodologies leverage deep neural networks to acquire image data’s intrinsic features and compression strategies, aiming for higher compression rates and ...

At a high level, JPEG is a lossy image compression technique. What you may not realize is that achieving this required a fascinating blend of human perception, ...

Better than JPEG? Researcher discovers that Stable Diffusion can compress images Lossy compression bypasses text-to-image portions of Stable Diffusion with interesting results.

To resolve any 2D alignment bottlenecks we accelerated three different stages of the overall ISAC algorithm: 1) A one-time pre-alignment step to align all images of the input stack with a single, ...

With the increasing demand of storage and transmission of digital images, image compression is now become an essential applications for storage and transmission. This paper proposes a new scheme for ...

Technique improves AI ability to understand 3D space using 2D images Date: January 26, 2022 Source: North Carolina State University Summary: Researchers have developed a new technique, called ...

We build a state model of the DC coefficients of the entire image. On each 8x8 block in the image, we perform DCT, quantization, and run length encoding on the resulting coefficients. Normally ...

Introduction. The fast program algorithm of arithmetic coding proposed in the paper is for the compression of digital images. It is shown how the complexity of the arithmetic coder algorithm depends ...