Jun Murayama
Sony Broadcast & Professional Research Laboratories
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Publication
Featured researches published by Jun Murayama.
international conference on neural information processing | 2013
Haohua Zhao; Jun Luo; Zhiheng Huang; Takefumi Nagumo; Jun Murayama; Liqing Zhang
This paper presents a novel image denoising framework using overcomplete topographic model. To adapt to the statistics of natural images, we impose sparseness constraints on the denoising model. Based on the overcomplete topographic model, our denoising system improves over previous work on the following aspects: multi-category based sparse coding, adaptive learning, local normalization, and shrinkage function. A large number of simulations have been performed to show the performance of the modified model, demonstrating that the proposed model achieves better denoising performance.
Neural Processing Letters | 2015
Haohua Zhao; Jun Luo; Zhiheng Huang; Takefumi Nagumo; Jun Murayama; Liqing Zhang
This paper presents a novel image denoising framework using overcomplete topographic model. To adapt to the statistics of natural images, we impose both spareseness and topograpgic constraints on the denoising model. Based on the overcomplete topographic model, our denoising system improves the previous work on the following aspects: multi-category based sparse coding, adaptive learning, local normalization, lasso shrinkage function, and subset selection. A large number of simulations have been performed to show the performance of the modified model, demonstrating that the proposed model achieves better denoising performance.
international electron devices meeting | 2016
Tomohiro Yamazaki; Yasushi Maruyama; Yusuke Uesaka; Motoaki Nakamura; Yoshihisa Matoba; Takashi Terada; Kenta Komori; Yoshiyuki Ohba; Shinichi Arakawa; Yasutaka Hirasawa; Yuhi Kondo; Jun Murayama; Kentaro Akiyama; Yusuke Oike; Shuzo Sato; Takayuki Ezaki
Polarization information is useful in highly functional imaging. This paper presents a four-directional pixel-wise polarization CMOS image sensor using an air-gap wire grid on 2.5-μm back-illuminated pixels. The fabricated air-gap wire grid polarizer achieved a transmittance of 63.3 % and an extinction ratio of 85 at 550 nm, outperforming conventional polarization sensors. The pixel-wise polarizers fabricated with the wafer process on back-illuminated image sensors exhibit good oblique-incidence characteristics, even with small polarization pixels of 2.5 μm. The proposed image sensor realizes mega-pixel various fusion-imaging applications, such as surface reflection reduction, highly accurate depth mapping, and condition-robust surveillance.
Archive | 2001
Jun Murayama; Masayuki Hattori; Toshiyuki Miyauchi; Kouhei Yamamoto; Takashi Yokokawa
Archive | 2011
Yoichi Yagasaki; Osamu Sunohara; Jun Murayama
Archive | 2010
Kazuki Aisaka; Masatoshi Yokokawa; Jun Murayama
Archive | 2001
Masayuki Hattori; Jun Murayama; Toshiyuki Miyauchi
Archive | 1997
Jun Murayama
Archive | 2011
Kazuki Aisaka; Masatoshi Yokokawa; Nodoka Tokunaga; Jun Murayama
Archive | 1999
Jun Murayama; Robert J. McEliece; Masayuki Hattori