no code implementations • 5 May 2023 • R. Wes Baldwin, Vijayan Asari, Keigo Hirakawa
We present a novel Fourier camera, an in-hardware optical compression of high-speed frames employing pixel-level sign-coded exposure where pixel intensities temporally modulated as positive and negative exposure are combined to yield Hadamard coefficients.
no code implementations • 22 Aug 2022 • Abigail Wolf, Shannon Brooks-Lehnert, Keigo Hirakawa
We propose an Event-Based Snow Removal algorithm called EBSnoR.
1 code implementation • 10 Mar 2021 • R. Wes Baldwin, Ruixu Liu, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa
Event cameras are an exciting, new sensor modality enabling high-speed imaging with extremely low-latency and wide dynamic range.
no code implementations • 19 Sep 2020 • Yeejin Lee, Keigo Hirakawa
We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data.
no code implementations • 28 Mar 2020 • Mohammed Almatrafi, Raymond Baldwin, Kiyoharu Aizawa, Keigo Hirakawa
We propose DistSurf-OF, a novel optical flow method for neuromorphic cameras.
1 code implementation • CVPR 2020 • R. Wes Baldwin, Mohammed Almatrafi, Vijayan Asari, Keigo Hirakawa
We provide the first dataset (DVSNOISE20) of real-world labeled neuromorphic camera events for noise removal.
no code implementations • 26 Feb 2020 • R. Wes Baldwin, Mohammed Almatrafi, Jason R Kaufman, Vijayan Asari, Keigo Hirakawa
This paper presents a novel fusion of low-level approaches for dimensionality reduction into an effective approach for high-level objects in neuromorphic camera data called Inceptive Event Time-Surfaces (IETS).
no code implementations • CVPR 2013 • Yi Zhang, Keigo Hirakawa
We propose a notion of double discrete wavelet transform (DDWT) that is designed to sparsify the blurred image and the blur kernel simultaneously.