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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2024-03-15
10:00		 Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)		 A Proposal of Hue-preserving Unsharp Masking with Variable Saturation Using the Log-ratio Operation
Aoi Kamehara, Mashiho Mukaida (Yamaguchi Univ.), Takanori Koga (Kindai Univ.), Noriaki Suetake (Yamaguchi Univ.) SIS2023-55		 Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color i... [more] SIS2023-55
pp.55-60
QIT
(2nd)		 2023-12-17
17:30		 Okinawa OIST
(Primary: On-site, Secondary: Online)		 [Poster Presentation] Proposal to Reduce Degradation of Quantum Images by Contrast and Edge Enhancement Processing
Chihiro Dogo, Kazuhiro Saito (KDDI Research) 		Quantum image processing requires encoding image information expressed in classical 0/1 into a quantum state. There are ... [more]
SIS, IPSJ-AVM [detail] 2023-06-15
13:00		 Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)		 A Proposal of Hue Preserving Unsharp Masking Without Gamut Problem
Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2023-4		 Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color i... [more] SIS2023-4
pp.19-24
IE, IMQ, MVE, CQ
(Joint) [detail]		 2016-03-07
18:25		 Okinawa   Image Reduction Based on waifu2x
Kohei Inoue, Kenji Hara, Kiichi Urahama (Kyushu Univ.) IMQ2015-52 IE2015-151 MVE2015-79		 Recently, a high-quality image enlargement tool called waifu2x has been released and become the topic on the Internet. I... [more] IMQ2015-52 IE2015-151 MVE2015-79
pp.135-138
CS, SIP, CAS 2008-03-06
12:30		 Yamaguchi Yamaguchi University Image Quality Improvement Based on Noise Reduction and Image Sharpening
Go Tanaka, Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) CAS2007-116 SIP2007-191 CS2007-81		 Unsharp masking (UM) is used widely in order to sharpen the blurred image. However, in case where the image is corrupted... [more] CAS2007-116 SIP2007-191 CS2007-81
pp.45-50
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