How does HD CMOS visible light perform in low-light environments?

1. Strong photosensitivity

HD CMOS sensors usually adopt back-illuminated or stacked designs, etc., which improve the photoelectric conversion efficiency, enabling them to capture more light information in low-light conditions. The peak quantum efficiency in the 520nm visible light band is as high as 78%, which can fully guarantee the image clarity in low-light conditions.

2. Better noise control

Hardware optimization: Some HD CMOS sensors use advanced manufacturing processes, such as capacitor processes, to reduce image noise from the circuit process level. Read noise is reduced by about 57% compared to previous generations, and fixed noise is reduced by about 42%.

Software noise reduction: Use noise reduction algorithms, such as denoising filters or machine learning algorithms, to process images to further reduce noise caused by low-light environments and improve image clarity and purity.

3. Rich imaging details

Larger pixel size helps increase the amount of light received by each pixel and improves the signal-to-noise ratio, thereby generating clearer images in low-light environments, retaining more details and richer information. The special pixel arrangement also helps optimize light capture and color restoration, making the image more natural and realistic.

4. Effective automatic adjustment function

The camera's built-in intelligent algorithm can analyze ambient light in real time and automatically adjust parameters such as exposure time and ISO to balance bright and dark details to avoid overexposure or underexposure. Some HD CMOS cameras also support multiple HDR modes, which can effectively improve the dynamic range, reduce the impact of day and night light changes on imaging, and reduce the occurrence of local overexposure or loss of dark details.

5. Auxiliary technology can be combined to enhance the effect

In extremely low light conditions, some HD CMOS cameras can be used in conjunction with infrared sensors to capture infrared light information and fuse it with visible light information to further enhance night vision capabilities and adapt to more complex and changing night environments.

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