Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System

نویسندگان

چکیده

Image dehazing, as a common solution to weather-related degradation, holds great promise for photography, computer vision, and remote sensing applications. Diverse approaches have been proposed throughout decades of development, deep-learning-based methods are currently predominant. Despite excellent performance, such computationally intensive these recent advances amount overkill, because image dehazing is solely preprocessing step. In this paper, we utilize an autonomous algorithm analyze non-deep approach. After that, present corresponding FPGA design high-quality real-time vision systems. We also conduct extensive experiments verify the efficacy across different facets. Finally, introduce method synthesizing cloudy images (loosely referred hazy images) facilitate future aerial surveillance research.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs14081852