This is an implementation of (part of) the algorithm described in Condat et al. Reversible, fast, and high-quality grid conversions, IEEE Transactions on Image Processing, vol. 17, no. 5, pp. 679-693, May 2008. It transforms data sampled on a hexagonal grid, such as an X-ray detector with hexagonal pixels, into a conventional cartesian lattice.
Specifically, it implements what that paper describes as a Type II fractional delay filter, with N=2.
This package is based on code written by Andreas Scherz and Rafael Gort.
FAQs
Convert data from hexagonal pixels to cartesian grid
We found that condat-gridconv demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s Threat Research Team has uncovered 60 npm packages using post-install scripts to silently exfiltrate hostnames, IP addresses, DNS servers, and user directories to a Discord-controlled endpoint.
Security News
TypeScript Native Previews offers a 10x faster Go-based compiler, now available on npm for public testing with early editor and language support.
Research
Security News
Malicious npm packages targeting React, Vue, Vite, Node.js, and Quill remained undetected for two years while deploying destructive payloads.
