AI-based Image Enhancement

Smarter Monitoring Starts with Clarity

Hanwha Vision’s AI-based Image Enhancement technologies ensures crystal-clear visibility – from backlit scenes to dimly lit environment.

When Lighting Conditions Get in the Way

Video surveillance doesn’t always happen in ideal conditions. Backlit entrances wash out faces. Dim corridors hide movement. Traditional noise reduction often sacrifices sharpness, while excessive WDR tuning creates unnatural contrast.

The result? Missed details, unreliable analytics, and wasted storage on unusable footage.

AI-BASED IMAGE ENHANCEMENT

AI Performance That Delivers Results

Hanwha Vision’s AI-based Image Enhancement technologies analyzes every frame in real time. From optimizing exposure, reducing noise, and balancing contrast with intelligence that adapts to the scene.

Reliable forensic clarity

Preserve fine details essential for accurate forensic search and post-incident analysis

Operational efficiency

Reduce bandwidth and storage load with optimized, noise-free video data

Enhanced analytics accuracy

Deliver cleaner inputs for AI algorithms, improving detection precision and event reliability

Dual NPU

At the heart of AI-based Image Enhancement lies the Dual NPU architecture of the Wisenet 9 SoC. This powerful design separates image processing from analytics, allowing each neural processor to operate independently for maximum efficiency.
With one NPU dedicated to visual enhancement, it precisely controls exposure, noise reduction, and shutter optimization — delivering sharper, clearer, and more dynamic images under any lighting condition.

AI-based Noise Reduction (AI-NR)

Conventional noise reduction techniques often blur details or leave ghosting effects. Our AI-NR takes it a step further — the AI model is meticulously trained on the unique noise characteristics of each specific image sensor, enabling it to distinguish real image data from noise at a pixel-by-pixel level.

Rather than simply smoothing over imperfections, it selectively removes noise while preserving fine textures, sharp edges, and natural colors, even in extremely low-light environments. By eliminating unnecessary noise data at the source, the AI-NR technology not only delivers remarkably clear and detailed video, but also reduces bitrate for more efficient storage and network performance.

extremeWDR

Hanwha Vision cameras excel at handling scenes with extreme lighting variations, by employing AI-based WDR (Wide Dynamic Range). Unlike traditional WDR that can make the entire image look unnatural, extremeWDR intelligently analyzes each scene to identify and adjust overly bright and dark areas. This precise process determines the optimal exposure and adjusts motion artifacts, contrast, and tone through the advanced AI algorithm.

The result is a perfectly balanced and natural-looking image where every part of the scene is captured with exceptional clarity and detail, regardless of the challenging backlighting conditions.

AI-based Prefer Shutter

Unlike conventional systems that mainly controlled high-speed shutters to reduce blur, AI-based Prefer Shutter technology uses the latest AI to identify object appearance and movement. This allows it to automatically readjust the shutter speed to an optimal level, effectively improving noise while minimizing motion blur.

In scenes without movement, the shutter slows down to ensure low noise and bright, clear images. Conversely, when significant object movement is detected, the shutter speeds up to reduce blur and deliver crisp visual clarity.

Related Resource

Feature Article

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White Paper

AI Image Enhancements of Wisenet 9
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Hanwha Vision is the leader in global video surveillance with the world's best optical design / manufacturing technology and image processing technology focusing on video surveillance business for 30 years since 1990.