Parallel processing of radiation measurements and radiation video optimization.

Area of Science:

• Image analysis
• Radiation physics
• Signal processing

Background:

• Radiation exposure can degrade image quality and interfere with signal analysis.
• Accurate real-time monitoring of radiation dose rates is crucial in many applications.

Purpose of the Study:

• To develop a parallel processing method for analyzing radiation-response signals.
• To suppress radiation noise in video-image data.
• To enable simultaneous real-time radiation dose-rate measurements and image acquisition.

Main Methods:

• Investigated the linear-representation law of image-information components concerning radiation dose rate.
• Utilized simulation images for response-signal extraction and noise suppression.
• Applied a noise signal-substitution algorithm and median filter sequentially.

Main Results:

• Identified that most response signals in global images exhibit forward superposition.
• Achieved significant improvement in the peak signal-to-noise ratio, particularly in the red channel.
• Demonstrated the capability for simultaneous real-time radiation dose-rate measurements and clear image acquisition under irradiation.

Conclusions:

• The proposed parallel processing method effectively analyzes radiation-response signals and suppresses noise.
• The technique significantly enhances image quality and signal-to-noise ratio.
• This approach facilitates real-time radiation monitoring and imaging in irradiated environments.