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This research presents SeeThrough, a real-time dehazing technology designed to enhance environmental monitoring and surveillance on both desktop and mobile devices in hazy. By employing the Dark Channel Prior (DCP) algorithm alongside Gaussian Filtering, the system effectively eliminates haze, thereby improving the visibility of outdoor camera feeds. It is optimized for Windows and Android platforms through multithreading, achieving 30 frames per second (fps) desktop systems and 12 fps on mobile devices. Quantitative assessments revealed notable enhancements in image quality, with Peak Signal-to-Noise Ratio (PSNR) values rising from 9.979 to 12.440 for homogeneous fog and from 9.978 to 12.444 for heterogeneous fog. However, the Structural Similarity Index Measure (SSIM) results indicated a slight darkening of images, which impacted their structural similarity to haze-free images. A total of sixty-three (63) users assessed the system according to ISO/IEC 25010:2023 and Android Core App Quality standards, awarding it a “Highly Acceptable” rating. SeeThrough significantly improves the visibility of environmental data, making it an essential tool for monitoring systems in diverse atmospheric conditions. The technology’s benefits include enhanced visibility, improved monitoring capabilities, and contributions to environmental safety and public health. Future enhancements should concentrate on adaptive brightness correction and the utilization of GPU resources to further optimize performance and broaden applications and assess the impact of technology to improve environmental safety public health by improving visibility and monitoring capabilities in hazy environmental conditions.

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SeeThrough: Real-Time Dehazing Technology for Enhanced Environmental Monitoring and Surveillance on Desktop and Mobile Platforms

  • 会议论文

  • 发表日期：

    2025年

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  • Jerian R. Peren,
  • Andre M. Nazareth,
  • Alexandre F. Basiño,
  • Ferdinand Carlo M. Palo,
  • Elmer C. Matel

摘要

This research presents SeeThrough, a real-time dehazing technology designed to enhance environmental monitoring and surveillance on both desktop and mobile devices in hazy. By employing the Dark Channel Prior (DCP) algorithm alongside Gaussian Filtering, the system effectively eliminates haze, thereby improving the visibility of outdoor camera feeds. It is optimized for Windows and Android platforms through multithreading, achieving 30 frames per second (fps) desktop systems and 12 fps on mobile devices. Quantitative assessments revealed notable enhancements in image quality, with Peak Signal-to-Noise Ratio (PSNR) values rising from 9.979 to 12.440 for homogeneous fog and from 9.978 to 12.444 for heterogeneous fog. However, the Structural Similarity Index Measure (SSIM) results indicated a slight darkening of images, which impacted their structural similarity to haze-free images. A total of sixty-three (63) users assessed the system according to ISO/IEC 25010:2023 and Android Core App Quality standards, awarding it a “Highly Acceptable” rating. SeeThrough significantly improves the visibility of environmental data, making it an essential tool for monitoring systems in diverse atmospheric conditions. The technology’s benefits include enhanced visibility, improved monitoring capabilities, and contributions to environmental safety and public health. Future enhancements should concentrate on adaptive brightness correction and the utilization of GPU resources to further optimize performance and broaden applications and assess the impact of technology to improve environmental safety public health by improving visibility and monitoring capabilities in hazy environmental conditions.