Showing 2 open source projects for "upscale"

View related business solutions
  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
    Try Free
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • 1
    PNG Upscale

    PNG Upscale

    AI Super - Resolution

    Download is available from the Releases Page or Google Drive or MediaFire. Be careful when trying to resize very large pictures, it can take considerable time and resources. To upscale an image you just need to choose a mode, load a picture and press start. Save button can be used to choose an output folder and filename before you start the process (either just name or .png) You can double-click the text box to change [Dark - Light] theme (disabled when upScaling) Use PNG images for best results. Download the executable corresponding with your operating system, and the Models folder. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    blitz-image

    GPU-accelerated image processing for java

    blitz-image is a library to support extremely fast image processing in java, harnessing GPU acceleration via OpenCL. Although more features will be added in time, the initial focus is on very fast high-quality image resizing, including bicubic resizing (both upscale and downscale). The performance of a typical bicubic upscale operation is typically in the order of 10 times faster than via the standard AWT mechanism using RenderingHints.VALUE_INTERPOLATION_BICUBIC. The library depends on Aparapi (https://code.google.com/p/aparapi/). Any GPU supporting OpenCL should be supported (including low-end GPUs without double-precision fp support), and there is automatic fallback to pure java implementations for all operations in the event that there is no OpenCL support available. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next