Zobrazeno 1 - 10
of 802
pro vyhledávání: '"Takahashi, Keita"'
Publikováno v:
2021 IEEE International Conference on Image Processing
Compression of the sign information of discrete cosine transform coefficients is an intractable problem in image compression schemes due to the equiprobable occurrence of the sign bits. To overcome this difficulty, we propose an efficient compression
Externí odkaz:
http://arxiv.org/abs/2405.07487
Publikováno v:
Optics Express 32 (2024) 20600-20617
We propose a new gradient method for holography, where a phase-only hologram is parameterized by not only the phase but also amplitude. The key idea of our approach is the formulation of a phase-only hologram using an auxiliary amplitude. We optimize
Externí odkaz:
http://arxiv.org/abs/2403.10560
Publikováno v:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We propose a computational imaging method for time-efficient light-field acquisition that combines a coded aperture with an event-based camera. Different from the conventional coded-aperture imaging method, our method applies a sequence of coding pat
Externí odkaz:
http://arxiv.org/abs/2403.07244
Publikováno v:
IEEE Access, Volume 11, Pages 99387-99396, 2023
We propose a method for reconstructing a continuous light field of a target scene from a single observed image. Our method takes the best of two worlds: joint aperture-exposure coding for compressive light-field acquisition, and a neural radiance fie
Externí odkaz:
http://arxiv.org/abs/2311.09646
Publikováno v:
ITE Transactions on Media Technology and Applications 12 (2024) 110-122
Compressing the sign information of discrete cosine transform (DCT) coefficients is an intractable problem in image coding schemes due to the equiprobable characteristics of the signs. To overcome this difficulty, we propose an efficient compression
Externí odkaz:
http://arxiv.org/abs/2209.10712
Autor:
Mizuno, Ryoya, Takahashi, Keita, Yoshida, Michitaka, Tsutake, Chihiro, Fujii, Toshiaki, Nagahara, Hajime
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We propose a method for compressively acquiring a dynamic light field (a 5-D volume) through a single-shot coded image (a 2-D measurement). We designed an imaging model that synchronously applies aperture coding and pixel-wise exposure coding within
Externí odkaz:
http://arxiv.org/abs/2204.12089
Autor:
Takahashi, Keita, Yan, Li, An, Nan, Chida, Kohei, Tian, Wanqing, Oshi, Masanori, Takabe, Kazuaki
Publikováno v:
In Journal of Surgical Research October 2024 302:250-258
Autor:
Tsujii, Ayato, Takahashi, Keita, Harada, Haruki, Kawashima, Sarana, Oikawa, Hina, Fukushima, Hiroki, Hayakawa, Yuta, Koizumi, Juri, Inoue, Naoki, Koshizuka, Tetsuo
Publikováno v:
In Vaccine 13 August 2024 42(20)
Publikováno v:
IEEE Access, vol.8, pp.179094-179104, October 2020
Thanks to the excellent learning capability of deep convolutional neural networks (CNN), monocular depth estimation using CNNs has achieved great success in recent years. However, depth estimation from a monocular image alone is essentially an ill-po
Externí odkaz:
http://arxiv.org/abs/2010.03072
Akademický článek
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