Hiroyuki Okuhata
Papers
1
Total Citations
12
H-Index
1
About
Hiroyuki Okuhata is a prominent researcher in real-time image processing and embedded systems, with a focus on FPGA-based architectures for computer vision applications. His key contributions lie in developing efficient hardware implementations for image enhancement and haze removal, notably through his work on Retinex-based algorithms. His most-cited paper, "An Architecture for Real-Time Retinex-Based Image Enhancement and Haze Removal and Its FPGA Implementation" (2019, 12 citations), addresses the growing demand for real-time processing by proposing a novel architecture that integrates both enhancement and haze removal in a single, efficient design. This work demonstrates his ability to bridge algorithmic innovation with practical hardware constraints, enabling applications in autonomous driving, surveillance, and outdoor imaging. Okuhata’s research is characterized by its focus on real-time performance, low-latency processing, and resource-efficient designs, making his contributions highly relevant for embedded and mobile platforms. His achievements include advancing the state of the art in FPGA-based image processing, with implications for both academic research and industrial deployment.
Research Focus
Key Achievements
Top Papers
- 1