# AI image and video enhancement technologies

> Developing situation record from CLSTR: https://clstr.news/situations/ai-image-and-video-enhancement-technologies
> Updated: 2026-11-03T11:56:48.000Z. Sources: 5. Developments: 2.

Artificial intelligence is being applied to improve the quality of digital visual media through upscaling and restoration. In image processing, new methodologies and software tools, such as those from Adobe, allow for generative upscaling, repairing edges, and changing aspect ratios. Professional workflows for images emphasize structured pipelines that include content classification and quality control to prevent distortions in fine lines or text.

In the realm of video, AI tools are being used to restore aging films and improve low resolution footage by reducing noise and upscaling resolution. While these technologies can mitigate issues like grainy shadows or soft details, they are limited by the original source material. Research indicates that while AI can manage local presentation problems, it cannot reliably restore missing information or invent performances that were not originally recorded.

## Timeline

### 2026-11-03: AI video enhancement tools address resolution and noise issues

AI video enhancement tools are being used to upscale low-resolution footage and reduce noise, though they cannot fully recover information that was never captured in the original recording.

3 sources. https://clstr.news/cluster/ai-video-enhancement-tools-address-resolution-and-noise-issues

### 2026-10-27: AI image upscaling and restoration workflows

Advancements in AI-driven image upscaling highlight the importance of specialized workflows in tools like Photoshop and the need for rigorous quality checks and traceability in production pipelines.

2 sources. https://clstr.news/cluster/ai-image-upscaling-and-restoration-workflows

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Cite as: AI image and video enhancement technologies. CLSTR, https://clstr.news/situations/ai-image-and-video-enhancement-technologies