Presentation 2014-03-07
A High-Capacity Data Embedding Scheme Based on Human Vision System for Palette-Based Images
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 by introducing CIEDE2000. It executes a clustering process considering visual characteristics. Simulation results show the effectiveness of our scheme.
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Keyword(in English) data embedding / palette-based images / clustering / Euclidean distance / CIEDE2000
Paper # EMM2013-100
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Conference Information
Committee EMM
Conference Date 2014/2/28(1days)
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Paper Information
Registration To Enriched Multimedia (EMM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A High-Capacity Data Embedding Scheme Based on Human Vision System for Palette-Based Images
Sub Title (in English)
Keyword(1) data embedding
Keyword(2) palette-based images
Keyword(3) clustering
Keyword(4) Euclidean distance
Keyword(5) CIEDE2000
1st Author's Name Kanichi TANIGUCHI
1st Author's Affiliation Division of Information Sciences, Graduate School of Advanced Integration Science, Chiba University()
2nd Author's Name Shoko IMAIZUMI
2nd Author's Affiliation Division of Information Sciences, Graduate School of Advanced Integration Science, Chiba University
3rd Author's Name Naokazu AOKI
3rd Author's Affiliation Division of Information Sciences, Graduate School of Advanced Integration Science, Chiba University
4th Author's Name Hiroyuki KOBAYASHI
4th Author's Affiliation Division of Information Sciences, Graduate School of Advanced Integration Science, Chiba University
Date 2014-03-07
Paper # EMM2013-100
Volume (vol) vol.113
Number (no) 480
Page pp.pp.-
#Pages 6
Date of Issue