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Thermal Image Enhancement through the Deconvolution Methods for Low-Cost Infrared Cameras
Fuwen Lai1,2, Jayanth Kandukuri3, Baohong Yuan3
1Dept. of Physics, University of Texas at Arlington, Arlington, TX 76019, USA.
Quantitative Infrared Thermography Journal
|December 14, 2018
Summary
Improving low-resolution infrared thermal camera spatial resolution is key for precise photothermal therapies. Deconvolution methods enhance image quality, enabling accurate temperature monitoring of small targets for advanced disease treatment.
Area of Science:
- Biomedical Engineering
- Optical Imaging
- Medical Physics
Background:
- Infrared (IR) thermal cameras offer real-time temperature monitoring for photothermal/ablation therapies.
- Precise disease treatment relies on accurate temperature data, often requiring high-resolution imaging.
Purpose of the Study:
- To quantitatively improve the spatial resolution of a low-cost, low-resolution IR thermal camera.
- To assess the effectiveness of deconvolution methods for enhancing thermal imaging in medical applications.
Main Methods:
- Modeled the camera point spread function (PSF) experimentally.
- Applied two deconvolution techniques: Richardson-Lucy blind deconvolution (BD) and total variation constrained deconvolution (TD).
Main Results:
- Spatial resolution improved from 1.1 cycles/mm to 2.6 cycles/mm (BD) and 4.8 cycles/mm (TD) at 50% MTF.
- Total variation constrained deconvolution (TD) resolved 1-mm objects with accurate temperature readings.
- Enhanced thermal images using TD were comparable to those from high-resolution IR cameras.
Conclusions:
- Deconvolution methods, particularly TD, effectively enhance thermal image quality from low-cost IR cameras.
- Improved thermal imaging meets precision requirements for laser scanning protocols in photothermal/ablation therapies.
- This approach enables cost-effective, precise temperature monitoring for advanced medical treatments.
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