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Information × Registration Number 2123U011179, Article popup.category Препринт Title Single Image Motion Deblurring for Mobile Devices (AI translated) popup.author Kuspys NazariiKuspys Nazarii popup.publication 01-01-2023 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4431 popup.publisher Description Motion blur is a common issue in image processing and video production. It is cru- cial to have a profound pre-processing method to address this obstacle for various image processing applications, e.g., object detection. Many existing state-of-the-art methods are limited to their computational complexity and memory requirements if one wants to use them in practice on mobile devices. This work proposes sev- eral ideas to overcome this issue and optimize existing solutions via architectural changes and graph optimizations. Moreover, we introduced an adapted version of Soft Attention inside skip connections and achieved a PSNR raise of 0.22 (dB) for the selected baseline. Finally, we derived the optimized model for mobile real-time applications without a significant drop in accuracy, e.g., obtaining 31.36 dB PSNR on GoPro (for image deblurring) with 24 FPS on the mobile application. popup.nrat_date 2025-11-05 Close