Improved Threat Identification Using Tonemapping of High-Dynamic-Range X-ray Images

Area of Science:

• Medical Imaging
• Computer Vision
• Display Technology

Background:

• Transmission X-ray systems are crucial for security screening of packages, luggage, and cargo.
• X-ray images possess a high dynamic range (≥1,000:1), exceeding the capabilities of typical consumer displays (<255:1).
• This mismatch limits the effective visualization and interpretation of critical details in security imaging.

Purpose of the Study:

• To evaluate the efficacy of modern tonemapping algorithms in improving X-ray image display.
• To compare the performance of various popular tonemapping algorithms for this specific application.
• To bridge the gap between high-dynamic-range X-ray data and low-dynamic-range display limitations.

Main Methods:

• Implementation and testing of several contemporary tonemapping algorithms.
• Application of these algorithms to high-dynamic-range X-ray images.
• Subjective and objective assessment of image quality on low-dynamic-range displays.

Main Results:

• Tonemapping algorithms demonstrably improve the visibility of details in X-ray images on standard displays.
• Significant differences in performance were observed among the evaluated tonemapping algorithms.
• Enhanced contrast and detail rendition were noted across tested algorithms.

Conclusions:

• Modern tonemapping is a viable and effective solution for displaying high-dynamic-range X-ray imagery on consumer-grade screens.
• Algorithm selection can impact the quality of visualization, suggesting a need for tailored approaches.
• This advancement holds potential for improving security screening effectiveness through better image interpretation.