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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2016-12-08
Hiroshima Hiroshima City Univ. K-means Clustering-based Color Image Quantization with Preserving Minor Colors
Kennosuke Suzuki, Hideaki Misawa, Ryosuke Kubota (NIT, Ube College) SIS2016-34
In this report, we propose a new color quantization method with preserving minor colors of an original image. Firstly, K... [more] SIS2016-34
SIS, IPSJ-AVM 2015-09-04
Osaka Kansai Univ. A Proposal of Color Quantization Algorithm Based on Principal Component Analysis
Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (National Institute of Technology, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2015-26
In this report, a new color quantization method, which is an improved median cut algorithm by considering the color dist... [more] SIS2015-26
IE, SIP, ICD, VLD, IPSJ-SLDM [detail] 2012-10-18
Iwate Hotel Ruiz Avoiding Error Magnification in Weighted Median Cut Quantization in Decoding Process -- High Quality Data Compression of Sparse Histogram Images --
Toru Ikarashi, Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metropolitan Univ.) VLD2012-41 SIP2012-63 ICD2012-58 IE2012-65
In this report, we propose a lossy data compression algorithm for a sparse histogram image signal. The bit depth of pixe... [more] VLD2012-41 SIP2012-63 ICD2012-58 IE2012-65
EA 2007-08-10
Miyagi School of Engineering, Tohoku University On sound localization and its relation to the Precedence Effect with two sound sources located in median plane
Kim TaeEun, Koji Abe, Shouichi Takane, Sojun Sato (Akita Prefectural Univ.) EA2007-46
In order to develop the public address system that can reinforce the source signal without any degradation in sound loca... [more] EA2007-46
PRMU, MI 2006-05-26
Aichi Aichi Prefectural University A novel adaptive partial median filter for detectability improvement of acute stroke signs on brain CT images
Yongbum Lee (Niigata Univ.), Noriyuki Takahashi (Sendai City Hosp.), Du-Yih Tsai (Niigata Univ.)
Computed tomography (CT) is an important modality for diagnosis of hyper-acute stroke. In this study, a novel adaptive p... [more] PRMU2006-23 MI2006-23
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