Abstract: Intending to improve design trade offs in image processing architectures this work presents some kernel analysis for convolution-based image filtering. Some well-known filter kernels have ...

A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...

Abstract: Image restoration is the process of recovering a clean image from a degraded observation. In order to achieve this, it is essential to refine features at multiple scales. This paper develops ...

When Google unveiled ChromeOS more than a decade ago, the company made it clear that this was an operating system designed for desktop and laptop computers, while Android would continue to be its ...

I'm trying to perform a line-by-line image convolution using vkFFT: I have an image of size N * M and a kernel of size N * 1, and I'm trying to perform a convolution for each line with this same ...

For a non-regular "image", the same output size is given regardless of the kernel size. A typical image is shaped (N, 3, H, W), but my input is multivariate timeseries signal shaped (N, 1, ...

A synthetic image generated by mimicking real faces, left, and a synthetic face generated from the text prompt ‘a photo of a 50-year-old man with short black hair,’ right. Hany Farid using StyleGAN2 ...