2025-03-21 17:16:17

How to Reduce Noise Signal for SWIR Camera?

SWIR cameras often exhibit noise in their images due to hardware characteristics, environmental conditions, and signal processing technologies. Today let’s take a look at some causes and matching solutions.

Detector Noise

SWIR cameras typically use InGaAs detectors, which can introduce the following noises:

Dark Current Noise: Current generated even in the absence of light.

Readout Noise: Noise introduced when reading out signals from the detector.

Thermal Noise: Random electron motion caused by temperature fluctuations.

Solutions:

Use cooled detectors and professional heat radiation structure to reduce thermal noise.

Weak Signals in Low-Light Conditions

SWIR light sources are often weak (e.g., at night), resulting in low signal strength and a reduced signal-to-noise ratio (SNR).

Solutions:

Use high-sensitivity detectors.

Enhance signals with additional lighting (e.g., laser illumination).

Please check image effect of cooled model in attached video.

Environmental Interference

Causes:

Atmospheric water vapor can absorb some SWIR light, causing signal attenuation.

Background radiation (e.g., solar radiation) may introduce additional noise.

Solutions:

Select appropriate wavelength bands (e.g., 1.0-1.7 µm) to minimize atmospheric absorption.

Use filters to block unwanted bands.

Electronic Circuit Noise

Causes:

Internal electronic circuits (e.g., amplifiers, analog-to-digital converters) can introduce noise.

Power fluctuations or electromagnetic interference may also affect image quality.

Solutions:

Optimize circuit design and use low-noise components.

Implement shielding measures to reduce electromagnetic interference.

Insufficient Image Processing Algorithms

Causes:

If image processing algorithms are not optimized, noise reduction may be ineffective.

Solutions:

Use advanced denoising algorithms (e.g., wavelet transform, deep learning-based denoising).

Increase computational resources or optimize algorithm efficiency.

Noise in SWIR camera images primarily stems from detector noise, environmental interference, electronic circuit noise, and insufficient image processing algorithms. By optimizing hardware design, improving environmental conditions, and employing advanced algorithms, noise can be effectively reduced to enhance image quality. For more specific information, please feel free to contact our sales engineer anytime!

Sales Manager:  Lily Liu
Mobile:  086-13359283296
Email:  info@gatherstarhk.com

Xi'an Gatherstar Optoelectronic System Co.,Ltd is specialized in infrared and laser photoelectric system products and module, components and elements. we are not only confident in supplying qualified optoelectronic products to all of our customers, but also concentrating on offering continuous innovations and reliable service.