完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChen, Shang-Kuanen_US
dc.contributor.authorLin, Ja-Chenen_US
dc.date.accessioned2017-04-21T06:49:58Z-
dc.date.available2017-04-21T06:49:58Z-
dc.date.issued2012en_US
dc.identifier.isbn978-0-7695-4763-3en_US
dc.identifier.isbn978-1-4673-2138-9en_US
dc.identifier.issn1949-4653en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICGEC.2012.101en_US
dc.identifier.urihttp://hdl.handle.net/11536/135438-
dc.description.abstractLSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.en_US
dc.language.isoen_USen_US
dc.titleImage hiding by LSB matching of higher payloaden_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICGEC.2012.101en_US
dc.identifier.journal2012 SIXTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING (ICGEC)en_US
dc.citation.spage468en_US
dc.citation.epage471en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000319285800115en_US
dc.citation.woscount0en_US
顯示於類別:會議論文