Nonuniformity correction based on focal plane array temperature in uncooled long-wave infrared cameras without a...

Area of Science:

• Infrared Imaging Technology
• Image Processing and Computer Vision

Background:

• Uncooled long-wave IR camera systems experience focal plane array (FPA) temperature variations.
• FPA temperature fluctuations lead to spatial nonuniformity, degrading image quality.

Purpose of the Study:

• To develop a real-time nonuniformity correction algorithm for IR cameras.
• To compensate for image degradation caused by FPA temperature fluctuations.

Main Methods:

• A two-point correction technique calculates gain coefficients.
• Offset parameters are stored in temperature-dependent tables and updated via interpolation.
• Real-time correction is achieved using updated gain and offset parameters.

Main Results:

• The proposed algorithm effectively traces detector unit response drift with FPA temperature changes.
• Correction quality is comparable to the Minimizing the Sum of the Squares of Errors (MSSE) algorithm.
• Processing time is similar to the Template-Based Solution (TBS) algorithm.

Conclusions:

• The algorithm provides a high correction effect for IR camera nonuniformity.
• It is suitable for real-time control applications due to its efficiency.
• This method enhances image quality in uncooled long-wave IR systems.