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Committee Date Time Place Paper Title / Authors Abstract Paper #
Kumamoto Sojo University [Poster Presentation] A Study on Estimating TDoA of Sound in Reverberant Environment
Yudai Suzuki (UTokyo), Tsutomu Ikegami (AIST), Tomohiro Kudoh (UTokyo) EA2021-58
The measurement of the time difference of arrival (TDoA) of sound is improved by coupling reverberation removal filters... [more] EA2021-58
EMM, IT 2021-05-21
Online Online A Study of Detecting Adversarial Examples Using Sensitivities to Multiple Auto Encoders
Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) IT2021-11 EMM2021-11
By removing the small perturbations involved in adversarial examples, the image classification result returns to the cor... [more] IT2021-11 EMM2021-11
EMM 2021-03-04
Online Online [Poster Presentation] Detection of Adversarial Examples in CNN Image Classifiers Using Features Extracted with Multiple Strengths of Filter
Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2020-70
Deep learning has been used as a new method for machine learning, and its performance has been significantly improved. A... [more] EMM2020-70
SIS 2018-12-07
Yamaguchi Hagi Civic Center A Switching Noise Removal Filter Based on Convolutional Neural Networks and Its Application to Random-valued Impulse Noise
Yukiya Fukuda, Ryosuke Kubota (NIT, UC) SIS2018-29
In order to remove random-valued impulse noise (RVIN) on a color image, we propose a novel switching denoising filter ba... [more] SIS2018-29
EA, ASJ-H, ASJ-AA 2018-07-24
Hokkaido Hokkaido Univ. [Poster Presentation] Denoising Method for Underwater Acoustic Signals by Using Hough Transform
Yoshihiro Taira, Takashi Matsubara, Keisuke Iwai, Takakazu Kurokawa (NDA) EA2018-11
Underwater acoustic signals are used in various fields such as marine environmental measurement, exploration of sea bott... [more] EA2018-11
CAS, SIP, MSS, VLD 2018-06-15
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) Random Valued Impulse Noise Removal Using Improved Directional Weighted Median and BM3D
Takahiro Kudo, Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) CAS2018-34 VLD2018-37 SIP2018-54 MSS2018-34
We propose a new method for removing random valued impulse noise by the improved Directional Weighted Median (IDWM), Blo... [more] CAS2018-34 VLD2018-37 SIP2018-54 MSS2018-34
KBSE 2017-01-24
Tokyo Kikai-Shinko-Kaikan Bldg. Removal of Spike-like noise in Functional near-infrared spectroscopy
Yuya Sekiguchi, Kiyoshi Hoshino (Univ.Tsukuba), Motomasa Tomida, Hajime Kotani (Crescent,inc.) KBSE2016-38
In this paper, we propose a filter which removes spike-like noise from an fNIRS signal using an algorithm based around a... [more] KBSE2016-38
SIS, IPSJ-AVM 2016-09-01
Osaka Osaka Electro-Communication Univ. Random-Valued Impulse Noises Removal by Weighted Non-local Median Filter
Jyohei Matsuoka (Yamaguchi Univ.), Takanori Koga (NIT, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2016-18
As one of the random-noise removal methods, there is a non-local median filter.
Non-local median filter is excelled in... [more]
EA, SP, SIP 2016-03-29
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Method for Removing Noise due to Magnetic Flux Trap in HTS-SQUID Magnetometers Based on Mean-Shift Clustering
Takuma Tsuji, Yuta Katori, Kan Okubo (TMU), Nobunao Takeuchi (THU), Kiyoshi Nishikawa (TMU) EA2015-124 SIP2015-173 SP2015-152
By the piezo magnetic effect due to the fault movement associated with the occurrence of earthquake ,variation of geomag... [more] EA2015-124 SIP2015-173 SP2015-152
SIS 2016-03-11
Tokyo Tokyo City Univ. Impulse Noise Removal by Extended Median Filter Utilizing Minimum Spanning Tree with 8-neighborhood
Saki Asamoto, Takanori Koga (NIT, Tokuyama College) SIS2015-63
In this study, we propose a random-valued impulse noise removal method with superior detail preservation capability by a... [more] SIS2015-63
SIS 2016-03-11
Tokyo Tokyo City Univ. A Designing Method of Switching Median Filter Based on Genetic Algorithm with Variability of Individual
Shinya Ishimoto (NIT UC), Keiichi Horio (Kyushu Inst. of Tech.), Ryosuke Kubota (NIT UC) SIS2015-64
In this paper, we propose a new switching median filter with signal dependent thresholds designed by a genetic algorithm... [more] SIS2015-64
SIS 2015-12-03
Fukui Matsuya-sensen (Awara city, Fukui) Robust Non Local Means with Similarty Measure for Mixed Noise Removal
Haruki Niikura, Mitsuhiko Meguro (Nihon Univ.) SIS2015-30
In this paper, we propose two Non Local Means (NL-means) algorithms with robustness for Gaussian and mixed noise removal... [more] SIS2015-30
SIS 2015-06-09
Nagasaki Arkas SASEBO Random-Valued Impulse Noise Removal of Color Images by Switching Non-local Vector Median Filter
Jyohei Matsuoka (Yamaguchi Univ.), Takanori Koga (Tokuyama College of Technology), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2015-9
In this report, in order to remove the random-valued impulse noise superimposed on the color image, a new switch-type im... [more] SIS2015-9
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-09
Hokkaido Hokkaido University Impulse Noise Removal by Using Non-local Median Filter
Jyohei Matsuoka, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) CAS2014-14 VLD2014-23 SIP2014-35 MSS2014-14 SIS2014-14
In this report, we deal with the removal of the random impulse noise superimposed on the monochrome image. For the remov... [more] CAS2014-14 VLD2014-23 SIP2014-35 MSS2014-14 SIS2014-14
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2014-02-17
Hokkaido Hokkaido Univ. High Density Impulse Noise Removal on the Image Sequence uses Dual Recursive Hybrid Filter
Fitri Utaminingrum, Keiichi Uchimura, Gou Koutaki (Kumamoto Univ.) ITS2013-31 IE2013-96
The proposed method introduces impulse noise removal on the image sequences using Dual Recursive Hybrid Filter. The hybr... [more] ITS2013-31 IE2013-96
SIS, IPSJ-AVM 2013-09-12
Tokyo Waseda Univ. Impulse Noise Removal by Using One-dimensional Switching Median Filter Applied along MST-based Space-filling Curve
Takanori Koga (Tokuyama CT), Noriaki Suetake, Tsuyoshi Kato, Eiji Uchino (Yamaguchi Univ.) SIS2013-19
A switching median filter (SMF) is especially effective for impulse noise removal while still preserving edges in an inp... [more] SIS2013-19
Tokyo Tamagawa University AC Noise Cancellation by Smoothing of Adaptive Filter Coefficients in Flicker ERG Signals
Shinya Muramatsu, Naohiro Toda (Akita Prefectural Univ.) MBE2012-97
Propose a method smoothed by low-pass IIR filter coefficients of the adaptive filter to improve the
noise reduction eff... [more]
SIS 2013-03-08
Shizuoka Create Hamamatsu A Proposal of Pixel Value Restoration Method Considering Line Structure
Yi Ru, Shi Bao, Go Tanaka (Nagoya City Univ.) SIS2012-67
A pixel value restoration method for images corrupted by impulse noise is proposed. Although the median filter is a famo... [more] SIS2012-67
SIS 2012-03-01
Tokyo Shibuya Satellite Class, Tokyo City Univ. Design of Optimal Noise Detector for Impulsive Noise Removal by Switching Vector Median Filters
Makoto Kamiya, Yoshiko Hanada, Mitsuji Muneyasu (Kansai Univ.) SIS2011-63
Vector Median Filters (VMF) that consider the correlation among the color components are often used for impulse noise re... [more] SIS2011-63
CS, IPSJ-AVM, ITE-BCT, IE [detail] 2011-12-16
Aichi Nagoya Univ. A method of mixed noise removal via weighted window-bilateral filter considering preservation of edge signals
Masaya Horiuchi, Hiromu Koda (UEC) CS2011-80 IE2011-104
In this paper, we propose a method of mixed noise removal via weighted window-bilateral filter considering preservation ... [more] CS2011-80 IE2011-104
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