fullresolution

Full resolution refers to the original, maximum number of pixels in an image, video frame, or sensor capture, without any digital downscaling, upscaling, or cropping. It represents the native resolution provided by the capture system and is often the target when preserving the full detail and color information of a scene. Full-resolution files enable precise editing, color grading, and long-term archival storage because they retain the most information from the capture.

In practical workflows, full resolution is often contrasted with reduced or downscaled versions such as thumbnails, previews, or exported files at lower dimensions. While working with full resolution offers higher fidelity, it also increases file sizes, bandwidth requirements for transmission, and computational load for processing, editing, and rendering.

In display and streaming contexts, devices and services typically offer multiple resolution options. Viewing at full resolution requires a display capable of rendering the native pixel dimensions and an available bandwidth sufficient to stream or download the larger data volume. Conversely, lower resolutions are used to conserve bandwidth or accommodate limited hardware capabilities.

In computer vision and machine learning, processing at full resolution can improve accuracy by preserving fine detail, but it demands more memory and computation. Many pipelines therefore balance resolution against speed and resource constraints, sometimes employing selective downsampling or region-based processing.

Preserving full resolution is common in digital archives and high-fidelity workflows, where the goal is to avoid information loss and retain flexibility for future use.