← AI ToolsAI TOOLS · Super-resolution and bitrate recovery

Real detail, fully restored.

Super-resolution, quality enhancement, denoising and side-by-side comparisons with the source media.

Quality enhancement engine

Multiple AI capabilities combined to restore real detail

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Super-resolution · Original demo video

Video before and after optimization

Real-world scenes, restored to clearer motion

Before
After
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Bitrate compression comparison

Better visual quality at lower bitrates

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Sample details

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Real samples from the original site · Cloud desktop at 70% only · Enlarge to see the full original

Technical highlights

Core technology for high-quality video

Technology and data

More technical details and test data

Customer stories

Partners across industries

Technical highlights and core capabilities

Technical highlights

Quality enhancement

Deep-learning quality enhancement raises video resolution and sharpness and restores more detail for an outstanding viewing experience.

Denoising

Advanced AI denoising detects and filters video noise, delivering a cleaner, clearer picture while keeping detail intact.

High VMAF scores

Measured with Netflix's VMAF video quality standard, compressed video still scores 90+, so it looks the same as the original.

AI algorithms

Our own deep-learning algorithms recognize game scene characteristics, refine detail where it matters, and balance compression against quality for an outstanding viewing experience.

Core capabilities

Compression comparison

Compression comparison

VMAF-guided compression improves compression by 30%-40% without sacrificing visual quality, cutting storage costs.

Power consumption across devices

Power consumption across devices

In 1K 60 FPS tests over one hour of use, our SDK performs well on mainstream chipsets (Dimensity 8100, Dimensity 700, Qualcomm 750), using 8-12% less power than the baseline while keeping CPU temperatures low for stable long-term operation.

Efficient bitrate recovery

Advanced AI restores low-bitrate video to its original quality, greatly reducing transmission bandwidth without compromising the viewing experience.

Works in every scenario

Supports games, live streaming, short videos and more on Android, iOS and other major platforms, with a lightweight SDK for quick integration.

Smart quality enhancement

Deep-learning super-resolution reconstruction recognizes scene characteristics and precisely restores detail and texture for an outstanding viewing experience.

Fast deployment

A lightweight SDK and complete API docs, with seamless support for mainstream decoders. Integrate with your systems in as little as 2 hours.

In-game comparison

In-game comparison

In-game comparison

Measured by VMAF (higher is better), Glacier AI's solution keeps quality close to high-bitrate video at 80% bitrate across popular games. Albion Online, It Takes Two, Genshin Impact and Call of Duty all show excellent compression and quality restoration.

View original ↗
VMAF scores across games

Low-bitrate recovery and real-time engine

Low-bitrate recovery

Low-bitrate recovery

Built with advanced large-model AI training, the system turns low-bitrate frames into high-quality ones. The comparison shows precise restoration of detail, from the feathers of water birds to grassland landscapes, for a noticeably better viewing experience.

View original ↗
Real-time bitrate recovery engine

Real-time bitrate recovery engine

Extremely fast encoding helps businesses upgrade their technology. The SDK deploys quickly across video delivery scenarios (live streaming, on-demand, cloud gaming, cloud desktop, PC games, mobile games and more), delivering ultra-HD quality at lower bitrates and bandwidth costs.

View original ↗

Device power consumption and compression

Compression comparison

Compression comparison

VMAF-guided compression improves compression by 30%-40% without sacrificing visual quality, cutting storage costs.

Power consumption across devices

Power consumption across devices

In 1K 60 FPS tests over one hour of use, our SDK performs well on mainstream chipsets (Dimensity 8100, Dimensity 700, Qualcomm 750), using 8-12% less power than the baseline while keeping CPU temperatures low for stable long-term operation.

Rayvision

Rayvision case study image
Rayvision

Rayvision | On-device bitrate recovery

An on-device bitrate recovery SDK for Rayvision that enhances quality in real time for video streams and cloud gaming. The complete SDK toolkit deploys quickly and noticeably improves the viewing experience.

  • On-device deployment
  • Real-time bitrate recovery
  • Cloud gaming optimization

Shuhui Technology

Shuhui Technology case study image
Shuhui Technology

Shuhui Technology | Rendering pipeline SDK

An on-device AI rendering pipeline SDK for Shuhui Technology's immersive LBE spatial interaction system, using AI to enhance quality and raise frame rates for a smooth, striking VR experience.

  • VR rendering optimization
  • Higher frame rates
  • Immersive experience

Xiaomi

Xiaomi case study image
Xiaomi

Xiaomi | Honor of Kings minimap recognition

Minimap recognition for standard 5v5 Honor of Kings matches, built for Xiaomi, that precisely identifies towers, buffs, dragons, hero positions and minion waves. Requirements: accurately detect presence and destruction when unobstructed, accurately report when the view is obstructed, and keep total power at or below 500mW on GPU/CPU and 50mW on NPU.

  • Precise recognition
  • Low power
  • Real-time feedback

Full technical overview

AI-driven quality enhancement for a clearer, more realistic picture.

Technical highlights

Quality enhancement

Deep-learning quality enhancement raises video resolution and sharpness and restores more detail for an outstanding viewing experience.

Denoising

Advanced AI denoising detects and filters video noise, delivering a cleaner, clearer picture while keeping detail intact.

High VMAF scores

Measured with Netflix's VMAF video quality standard, compressed video still scores 90+, so it looks the same as the original.

AI algorithms

Our own deep-learning algorithms recognize game scene characteristics, refine detail where it matters, and balance compression against quality for an outstanding viewing experience.

Applications and data across scenarios

In-game comparison

In-game comparison

Measured by VMAF (higher is better), Glacier AI's solution keeps quality close to high-bitrate video at 80% bitrate across popular games. Albion Online, It Takes Two, Genshin Impact and Call of Duty all show excellent compression and quality restoration.

View original ↗
Low-bitrate recovery

Low-bitrate recovery

Built with advanced large-model AI training, the system turns low-bitrate frames into high-quality ones. The comparison shows precise restoration of detail, from the feathers of water birds to grassland landscapes, for a noticeably better viewing experience.

View original ↗
Real-time bitrate recovery engine

Real-time bitrate recovery engine

Extremely fast encoding helps businesses upgrade their technology. The SDK deploys quickly across video delivery scenarios (live streaming, on-demand, cloud gaming, cloud desktop, PC games, mobile games and more), delivering ultra-HD quality at lower bitrates and bandwidth costs.

View original ↗
VMAF scores across games

Core capabilities

Compression comparison

Compression comparison

VMAF-guided compression improves compression by 30%-40% without sacrificing visual quality, cutting storage costs.

Power consumption across devices

Power consumption across devices

In 1K 60 FPS tests over one hour of use, our SDK performs well on mainstream chipsets (Dimensity 8100, Dimensity 700, Qualcomm 750), using 8-12% less power than the baseline while keeping CPU temperatures low for stable long-term operation.

Efficient bitrate recovery

Advanced AI restores low-bitrate video to its original quality, greatly reducing transmission bandwidth without compromising the viewing experience.

Works in every scenario

Supports games, live streaming, short videos and more on Android, iOS and other major platforms, with a lightweight SDK for quick integration.

Smart quality enhancement

Deep-learning super-resolution reconstruction recognizes scene characteristics and precisely restores detail and texture for an outstanding viewing experience.

Fast deployment

A lightweight SDK and complete API docs, with seamless support for mainstream decoders. Integrate with your systems in as little as 2 hours.

GLACIER AI

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shenzhongchang@glacier.fit ↗

Product scope, configuration and activation are confirmed with you directly.