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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP 2022-08-25
15:09
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Deep unrolling of non-linear diffusion with morphological Laplacians
Makoto Nakashizuka, Gouki Okada (CIT)
 [more]
SIS 2022-03-03
11:00
Online Online Deep ε: Gaussian denoising network based on the iterative noise estimation
Raimu Fujinami, Makoto Nakashizuka (CIT) SIS2021-30
 [more] SIS2021-30
pp.1-5
SIS 2021-12-03
14:15
Online Online Morphology based deep Gaussian denoiser capable to pursue specified noise variances
Hikaru Fujisaki, Makoto Nakashizuka (CIT) SIS2021-27
 [more] SIS2021-27
pp.32-36
SIS, ITE-BCT 2020-10-01
13:40
Online Online Image Regularization with Morphological Gradient Priors Using Optimization of Multiple Structuring Elements for Each Pixel
Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2020-15
In image regularization, a method for restoring an image has been proposed in which a morphological gradient is used as ... [more] SIS2020-15
pp.29-34
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-04
13:00
Online Online Morphological Filters with Multiple Structuring Elements and Its Software Implementation by Using SIMD instructions
Gouki Okada, Makoto Nakashizuka (CIT) SIS2020-6
 [more] SIS2020-6
pp.31-36
ITE-BCT, SIS 2019-10-24
15:30
Fukui Fukui International Activities Plaza Image Regularization with Total Variation and Morphological Gradient Priors Using Optimization of Structuring Element for Each Pixel
Shoya Oohara, Hirotaka Oka, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2019-17
As an image prior for image restoration, a method using the sum of morphological gradients has been proposed. Optimizati... [more] SIS2019-17
pp.47-52
SIS, ITE-BCT 2018-10-26
10:30
Kyoto Kyoto University Clock Tower Centennial Hall Image Regularization with Morphological Gradient and Total Variation Priors Using Optimization of Structuring Element by GA
Shoya Oohara, Mistuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (CIT) SIS2018-17
As an image prior for image restoration, a method using the sum of morphological gradients for an image has been propose... [more] SIS2018-17
pp.77-82
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-08
11:10
Hokkaido Jozankei View Hotel Image Regularization with Morphological Gradients Priors Using Optimization of Multiple Structuring Elements
Hirotaka Oka, Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (C.I.T.) SIS2018-7
An image restoration method using morphological gradients as an image prior and optimizing a structuring element by a ge... [more] SIS2018-7
pp.63-68
SIP, IT, RCS 2018-01-22
13:05
Kagawa Sunport Hall Takamatsu Decomposition of microwave doppler sensor signals by using complex convolutional dictionary learning
Tomoyuki Seito, Makoto Nakashizuka (CIT) IT2017-71 SIP2017-79 RCS2017-285
 [more] IT2017-71 SIP2017-79 RCS2017-285
pp.97-102
SIS 2017-12-14
14:30
Tottori Tottori Prefectural Center for Lifelong Learning A Method for Image Regularization with Morphological Gradient Priors Considering Optimization of SE
Yudai Ikeshita, Mitsuji Muneyasu (Kansai Univ.), Makoto Nakashizuka (CIT), Soh Yoshida (Kansai Univ.) SIS2017-40
An image restoration by image regularization with morphological gradient priors has been proposed. In the method, the se... [more] SIS2017-40
pp.39-44
SIS, IPSJ-AVM 2017-10-12
14:10
Nara Todaiji Culture Center [Tutorial Lecture] Morphology 2.0 -- Toward the singularity --
Makoto Nakashizuka (Chiba Inst. of Tech.) SIS2017-24
 [more] SIS2017-24
pp.17-22
SIS 2017-06-01
10:30
Oita Housen-Sou (Beppu) Image Regularization with Morphological Gradient Priors Using Optimization of Structure Element
Shoya Oohara, Yuudai Ikeshita, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.), Makoto Nakashizuka (C.I.T) SIS2017-3
An image restoration method based on morphological gradients has been proposed. In this method, the sum of the morpholog... [more] SIS2017-3
pp.13-18
PRMU, IE, MI, SIP 2016-05-20
15:10
Aichi   L1-L∞ norm regularization by using morphological gradients and its application to image decomposition
Makoto Nakashizuka (CIT) SIP2016-28 IE2016-28 PRMU2016-28 MI2016-28
 [more] SIP2016-28 IE2016-28 PRMU2016-28 MI2016-28
pp.147-152
SIS 2014-12-19
10:10
Kyoto Kyoto Research Park (Kyoto City) Image Regularization with Morphological Gradient Priors
Makoto Nakashizuka (CIT) SIS2014-81
 [more] SIS2014-81
pp.81-86
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-10
10:30
Hokkaido Hokkaido University Image recovery by using median regularization
Makoto Nakashizuka (Chiba Inst. of Tech.) CAS2014-25 VLD2014-34 SIP2014-46 MSS2014-25 SIS2014-25
 [more] CAS2014-25 VLD2014-34 SIP2014-46 MSS2014-25 SIS2014-25
pp.129-133
CS, CAS, SIP 2014-03-07
10:55
Osaka Osaka City University Media Center Image denosing by using soft-close/open invariance priors
Naoya Fujiwara (Osaka Univ.), Makoto Nakashizuka (Chiba Inst. of Tech.), Youji Iiguni (Osaka Univ.) CAS2013-114 SIP2013-160 CS2013-127
In this report, we propose a regularization based denoising method using soft-morphological filters as the image prior..... [more] CAS2013-114 SIP2013-160 CS2013-127
pp.139-144
SIS 2012-12-13
15:25
Chiba Nihon University Tsudanuma Campus Image approximation with root images of morphological filters and its application to image recovery
Makoto Nakashizuka (Chiba Inst. of Tech.), Yu Ashihara (Osaka Univ.) SIS2012-39
 [more] SIS2012-39
pp.51-56
EA, SP, SIP 2012-05-24
10:45
Osaka Osaka Univ. Nakanoshima Center Exemplar-Based Image Inpainting with Outlier Rejection
Hiroaki Misaki (Osaka Univ.), Makoto Nakashizuka (CIT), Youji Iiguni (Osaka Univ.) EA2012-4 SIP2012-4 SP2012-4
Image inpainting is a method for generating a background of an object which is removed from an image. In the exemplar-ba... [more] EA2012-4 SIP2012-4 SP2012-4
pp.19-24
IE, ITE-ME, ITE-CE [detail] 2011-07-26
10:00
Osaka   An image decomposition method by translation-invariant dictionary learning with TV regularization and its application to image inpainting
Makoto Nakashizuka (Osaka Univ.) IE2011-45
 [more] IE2011-45
pp.43-47
SP, EA, SIP 2010-05-27
13:50
Hyogo Konan Univ. (Hirao Seminar House) Subspace learning for cone-constrained translation-invariant sparse image representations
Makoto Nakashizuka (Osaka Univ.) EA2010-18 SIP2010-18 SP2010-18
 [more] EA2010-18 SIP2010-18 SP2010-18
pp.103-108
 Results 1 - 20 of 33  /  [Next]  
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