Error diffusion is a type of halftoning in which the quantization residual is distributed to neighboring pixels that have not yet been processed. Its...

closer to that of an error diffusion dither method. Error-diffusion dithering is a feedback process that diffuses the quantization error to neighboring pixels...

In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative...

Fick's laws of diffusion describe diffusion and were first posited by Adolf Fick in 1855 on the basis of largely experimental results. They can be used...

rapidly pulsing the power with a variable duty cycle. Error diffusion tries to ensure the error, on average, is minimized. When dealing with a gentle...

Diffusion is the net movement of anything (for example, atoms, ions, molecules, energy) generally from a region of higher concentration to a region of...

Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology...

Trans-cultural diffusion of culture items between cultures Diffusion (cryptography), the spreading of influence of bits in a cipher Error diffusion in image...

The algorithm achieves dithering using error diffusion, meaning it pushes (adds) the residual quantization error of a pixel onto its neighboring pixels...

concept of error diffusion for rendering images, also called Floyd–Steinberg dithering (though he distinguished dithering from diffusion). He pioneered...