What is Upscaling?
Video upscaling increases resolution using interpolation or AI. Learn how AI super-resolution reconstructs detail and when to use upscaling.
- Video Editing
- 4 related terms
Definition
Video upscaling is the process of increasing a video's resolution beyond its original capture resolution using interpolation or AI super-resolution models.
Upscaling explained
Traditional upscaling uses mathematical interpolation (bilinear, bicubic, Lanczos) to estimate new pixels between existing ones, resulting in soft or blurry output. AI upscaling (super-resolution) uses neural networks trained on pairs of low and high resolution content to intelligently reconstruct detail, producing significantly sharper results. AI upscaling can increase resolution by 2x or 4x while adding plausible detail that was not in the original. This is valuable for repurposing older content, upscaling AI-generated video (which is often 720p), and preparing low-resolution source material for high-resolution display. The trade-off is processing time and occasional artifacts.
Create upscaling content with BlitzReels
BlitzReels provides the tools and automation to put these concepts into practice.
All terms
Video Editing
AI Video Generation
Social Media Video
Captions & Subtitles
Video Formats & Codecs
Video Production
- B-Roll
- Workflow Automation
- Content Repurposing
- Stock Footage
- Motion Graphics
- Color Grading
- Render
- Storyboard
- Scene
- Voiceover
- Batch Processing
- Watermark
- Green Screen
- Chroma Key
- Thumbnail
- Royalty-Free
- Video API
- Webhook
- Background Music
- Dubbing
- Video Template
- Render Queue
- Video SDK
- Noise Reduction
- Video Podcast
- Cloud Rendering
Create
Create your next short-form video now.
Start with one raw clip or a long-form recording. BlitzReels gives you the captions, clipping, cleanup, and export tools in one place.
Create my first shortNew short-form project
Drop video or paste a URL
Upload source video
Clip, caption, reframe, clean up, export