Image Noise Reduction
AI noise reduction for high resolution in dark conditions
This technology uses AI to reduce high-ISO noises caused by shooting in low-light conditions, to enhance resolution.
High resolution can be achieved in real-time even in lightweight devices like smartphones, where it is difficult to embed large image sensors, and in industrial cameras used in dark places.
Move the slider to the left or right to see the image before and after processing.
USE CASE
Digital camera (night mode shooting - low noise high-ISO shooting)
Effective for night scenes and illumination, as well as for starry skies and galaxies that require long exposures. It can also clearly reproduce high-contrast scenes such as morning sunrises in mountainous areas, and low-angle portraits such as candlelight and people.
Industrial camera (for logistics warehouses and factories under dark conditions, improved detection and inspection systems)
Expected to improve the accuracy of detection and inspection in dark areas, such as in distribution warehouses and factories. Low-noise, high-quality video improves accuracy and supports efficient operations in processes such as barcode reading and quality inspections.
Smartphone (night mode shooting - low light high-resolution shooting)
Reduces noise when shooting at night or in dark locations, achieving high-resolution photos that retain fine details. Capture clear images with limited light conditions, such as at nighttime events, parties, and outdoor night scenes.
Industrial X-ray inspection camera ( improving inspection system under low dose)
In low-dose inspections, X-ray images tend to contain a lot of noise, but AI-based noise reduction will enable more accurate detection of minute defects and anomalies. It is also expected to reduce exposure to radiation doses and speed up processing.
Surveillance camera (nighttime surveillance - disaster, nature, port, security)
Improves the image resolution in nighttime surveillance video. Clear images with reduced noise provide superior performance in a variety of situations, such as disaster monitoring, observation of natural environments, port surveillance, and security cameras, and enable more accurate video analysis and grasp of the situation.
APPLICATIONS
IMAGE PROCESSING
Image Noise Reduction
AI technology that reduces high-ISO noise caused by low-light shooting to achieve high image quality
Video Noise Reduction
AI technology to achieve high image resolution in real-time for video recording where long-second exposures are difficult to use
Super Resolution
AI technology to enhance low-resolution digital images while preserving sharpness
Deblurring
AI technology to reduce blur caused by camera shaking or shooting moving subjects
Deraining
AI technology to remove water drops on the surface of the camera lens from the image after shooting
IMAGE RECOGNITION
Object Detection
AI technology to detect where people, vehicles, and other objects are located in an image
Segmentation
AI technology to divide colors by object areas
Pose Estimation
AI technology to estimate the position of human joints and major points (neck, shoulders, elbows, wrists, ankles, etc.) and their connections
Classification
AI technology to recognize objects in images and classify them
Anomaly Detection
Detects anomalies by training only normal images