Presentation 2013-09-12
A High-Capacity Data Embedding Scheme Using Clustering of Indexed Colors
Kanichi TANIGUCHI, Shoko IMAIZUMI, Naokazu AOKI, Hiroyuki KOBAYASHI,
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Abstract(in English) This paper proposes a data embedding scheme for palette-based images, which improves capacity of the embedded data. The proposed scheme is based on a palette modification scheme We propose an efficient scheme for clustering of the indexed colors compared with the conventional method. It executes the re-clustering process for unclustered indexed colors. Simulation results show the effectiveness of our scheme.
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Keyword(in English) data embedding / palette-based images / clustering / Euclidean distance
Paper # LOIS2013-11,IE2013-32,EMM2013-54
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Committee IE
Conference Date 2013/9/5(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A High-Capacity Data Embedding Scheme Using Clustering of Indexed Colors
Sub Title (in English)
Keyword(1) data embedding
Keyword(2) palette-based images
Keyword(3) clustering
Keyword(4) Euclidean distance
1st Author's Name Kanichi TANIGUCHI
1st Author's Affiliation Division of Information Science, Graduate School of Advanced Integration Science, Chiba University()
2nd Author's Name Shoko IMAIZUMI
2nd Author's Affiliation Division of Information Science, Graduate School of Advanced Integration Science, Chiba University
3rd Author's Name Naokazu AOKI
3rd Author's Affiliation Division of Information Science, Graduate School of Advanced Integration Science, Chiba University
4th Author's Name Hiroyuki KOBAYASHI
4th Author's Affiliation Division of Information Science, Graduate School of Advanced Integration Science, Chiba University
Date 2013-09-12
Paper # LOIS2013-11,IE2013-32,EMM2013-54
Volume (vol) vol.113
Number (no) 211
Page pp.pp.-
#Pages 6
Date of Issue